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Avatar of 顏士傑.
Avatar of 顏士傑.
Project Manager @fable 寓意科技
2024 ~ Present
Data mining ,Bigdata Architecture,python developer
Within one month
顏士傑 | Andrew 最純粹的動能是 :「享受交付任務,並透過自身貢獻創造改變的過程」 : [email protected] :Taoyuan City, Taiwan Hi 我是Andrew, 今年從QA轉職成為PJM,正在感受與學習台灣各種不同業態領域知識,以及軟體產業的快速步調中,平常也喜歡展開不同的生活企劃或學習
Communication Skills
Empowering Others
Coaching & Mentoring
Employed
Ready to interview
Taiwan
Full-time / Interested in working remotely
4-6 years
銘傳大學 Ming Chuan University, MCU
Computer Communication Engineer
Avatar of 周宏儒.
Avatar of 周宏儒.
Past
Independent Quantitative Developer (Founder) @Self-employed
2019 ~ 2024
Data Engineer
Within one month
Developer (Founder) • Self-employed Jan 2019 ~ Jun 2024 | Taipei, Taiwan - Designed a quantitative trading system that employed delta-neutral strategies for options arbitrage, consistently achieving a 4% monthly profit. - Initiated the project from scratch, which involved acquiring knowledge of options, defining the system architecture, evaluating open-source tools, planning data processing flows, programming every snippet, and designing the user experience. - The trading system includes: ETL that schedules (Airflow) crawler tasks to gather latest data and store in databases (MariaDB, MongoDB), Optimization that performs the calculation accelerated by GPU (Numba, RAPIDS) and clustering (Dask) to identify favorable cases for
Python Programming
Big Data
Artificial Intelligence
Unemployed
Ready to interview
Taiwan
Full-time / Interested in working remotely
4-6 years
University of Southern California
Electrical Engineering
Avatar of 劉琮蒍.
Avatar of 劉琮蒍.
第三期畢業生 @台灣人工智慧學校
2018 ~ 2019
AI人工智慧相關職缺
Within one month
Proven ability to lead cross-cultural teams and drive innovation in AI applications across industries. Skill Sets - AI/ML: LLM fine-tuning, RAG, PyTorch, Scikit-learn, Hugging Face, Gensim, LoRA, PEFT, LangChain, llama.cpp, BERT, Transformer models - NLP: Spacy, Word2Vec, Named Entity Recognition, Sentiment Analysis, Prompt Engineering - Data Processing & Databases: Elasticsearch, Neo4j, SQL, SQLite, FAISS - Cloud Platforms: AWS, GCP, COZE - Programming: Python (Advanced) - Other: Web Scraping, Data Visualization Professional Experience AI Team Lead, Fimmick (08/Present) Lead AI initiatives for a Hong Kong-based company with development teams in Taiwan. - Design and architect innovative AI
machine learning
Deep Learning
Computer Vision
Employed
Ready to interview
Taiwan
Full-time / Interested in working remotely
6-10 years
私立真理大學(台灣)
資訊管理
Avatar of 黃詩蓓.
Avatar of 黃詩蓓.
產品設計師/UIUX設計師 @大數據股份有限公司 | Big Data, Ltd.
2023 ~ Present
UIUX designer / 產品設計師
Within one month
腦觀看請使用Desktop連結,若以手機觀看請使用Mobile連結,感謝您的閱覽 工作經歷 產品設計師/UIUX設計師 大數據股份有限公司 | Big Data, Ltd. 九月PresentTaipei, Taiwan 工作內容:領導官網改版規劃與設計、Saas系統產品、前期UX研究、資訊架構規劃、企業識別系統設計、品牌設
Figma
Photoshop
Illustrator
Employed
Ready to interview
Taiwan
Full-time / Interested in working remotely
4-6 years
國立雲林科技大學 National Yunlin University of Science and Technology
視覺傳達設計學系
Avatar of the user.
Avatar of the user.
Data Project/Product Manager @Gamania 遊戲橘子數位科技股份有限公司
2022 ~ Present
Product Manager
Within one month
Business Analysis
Product Management
Project Management
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Taiwan University
MBA
Avatar of the user.
Avatar of the user.
Senior Data Engineer @Vpon Big Data Group
2021 ~ Present
資料工程師 後端工程師
Within one month
Data Engineering
Backend Development
Machine Learning
Employed
Ready to interview
Taiwan
Full-time / Interested in working remotely
6-10 years
National Taiwan University
Engineering Science (Major in Information Technology)
Avatar of the user.
Avatar of the user.
Data Scientist @AUO
2020 ~ Present
PM/資料科學家/數據分析師
Within one month
Python
R
SAS
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
Tunghai University
Statistic
Avatar of 辜郁翔.
Avatar of 辜郁翔.
Past
資深後端工程師 @未來無限智能有限公司(原未來科技)
2024 ~ 2024
Backend Developer
Within one month
智能有限公司(原未來科技) 一月八月 2024 MySQL 8.0 TiDB PhpMyAdmin Mongo 6.0 Kafka MQTT emqx 5.5 ETCD Redis DockerDocker-ComposeGolangAWS Kratos Microservice GRPC Goroutine Channel GMP Gin Framework GraphQL Main Product 1. Sport Data Center (Big Data analyze) 2. CustomerService (Communication software) 主要負責工作 1. 體育比分站 (大數據分析) 2. 智能客服系統(通訊軟體) 3. 規劃架構 4. 提供
PHP
Laravel
Docker
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立台中科技大學
資訊工程系
Avatar of Jimmy.
Avatar of Jimmy.
廣告優化師 @威朋大數據股份有限公司
2022 ~ Present
Digital Marketing
Within one month
market, optimizing brand and performance ads on platforms such as Google, Meta, Apple Search Ads, Line, and TikTok. Optimized app download ads on Meta, UAC, Apple Search Ads, and TikTok by improving audience segmentation, resulting in a 30% YoY decrease in CPA. Proficient in using AppsFlyer for app data analysis (DAU/MAU/retention rate), establishing RT audiences, and optimizing in-app events. Managed the MGM Referral Program, planning and executing member referral activities to lower overall new customer acquisition costs. Vpon AI Big Data Group , JanSep 2023 Campaign Manager Working at a big data
專案管理
行銷企劃
Google Analytics
Employed
Ready to interview
Singapore
Full-time / Interested in working remotely
4-6 years
朝陽科技大學
資訊工程
Avatar of Timmy Sung.
Avatar of Timmy Sung.
Senior Data Analyst @RHINOSHIELD
2024 ~ Present
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Cheng-Yu Sung(Timmy) Senior Data Analyst I maintain a strong curiosity about all things and leverage data to comprehend the world and address complex questions. With five years of experience as a data analyst, my current focus is on managing royalty systems, developing data pipelines and dashboards, and producing a wide range of [email protected] Taichung City, Taiwan Work Experience JanuaryPresent Taichung City, Taiwan Senior Data Analyst RHINOSHIELD Managed the royalty report system, automating the generation of over 30 reports each month and integrating them into the company's financial system. Facilitated
Python
SQL
AWS
Employed
Ready to interview
Taiwan
Full-time / Interested in working remotely
4-6 years
National University of Kaohsiung
Information management

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Within three months
Senior Data Engineer at Paktor x M17 Entertainment Group | AWS x GCP x Azure Big Data Specialist | Data Architect
Logo of KKCompany.
KKCompany
2023 ~ Present
Taiwan
Professional Background
Current status
Employed
Job Search Progress
Open to opportunities
Professions
Data Engineer, Back-end Engineer
Fields of Employment
Software
Work experience
10-15 years
Management
I've had experience in managing 1-5 people
Skills
Big Data
Data Engineering
ETL
AWS
GCP
Python
BigQuery
Data Warehouse
Data Pipeline
Java
Azure
SQL
Spark
kafka
spark streaming
Scala
Redshift
HBase
SQL Server
AWS S3
AWS Lambda
MongoDB
Hadoop
Hadoop Distributed File System
AWS SQS
Azure Storage
MySQL
PostgreSQL
Postman for API
Snowflake
Languages
English
Professional
Chinese
Native or Bilingual
Job search preferences
Positions
Backend Engineer, Data Engineer, MLOps Engineer
Job types
Full-time
Locations
Taiwan, 台灣, Singapore, Hong Kong
Remote
Interested in working remotely
Freelance
No
Educations
School
National Taiwan University
Major
EMBA Programs, Business Administration, Accounting, Finance and International Business.
Print
Ahzwaym2ourqm1t0glsc

Chin-Hung (Wilson) Liu

I am a lead architect responsible for designing and implementing a large-scale data pipeline for Lomotif, Paktor x 17LIVE, utilizing GCP/AWS/Python/Scala, in collaboration with data science and machine learning teams in Singapore and TW HQ, as well as with the Hadoop ecosystem (HDFS/HBase/Kafka) at JSpectrum in Hong Kong and Sydney. 


With over 15 years of experience in designing and developing Java/Scala/Python-based applications for daily operations, I bring:

● At least 8 years of experience in data analysis, pipeline design and development, and tool building as a team member. 

● In-depth knowledge of the Spark and Hadoop ecosystems, including Hadoop, HDFS, HBase, and more. 
● Strong skills in designing and developing Big Data services on AWS and GCP. 
 Extensive expertise in developing generic distributed systems, streaming processing, machine learning pipelines, and continuously improving ML models.


Senior Data Engineer at Paktor x 17LIVE| AWS Big Data Specialist | Data Architect 
Singapore / Hong Kong / Taiwan

[email protected]

https://www.linkedin.com/in/chin-hung-wilson-liu-29392957

Nanxing Rd., Xizhi Dist., New Taipei City, Taiwan (R.O.C.)

Experience 

Senior Data Engineer (DataOps / AI) / Lomotif Private Limited / Singapore

Jul. 2021 - Present.

Description and Responsibilities: Lomotif is a leading short video social platform in South America and India that holds PBs of videos in buckets and serves millions of users. DataOps and AI team take part in many challenging projects e.g. Ncanto, XROAD services, Ray Serve, and scalable model serving frameworks for support the recommendation and moderation pipeline, also integrated Universal Music Group music (UMG) and full catalog feed with 7digital. DataOps team handling 10TB+ data for day-to-day operation, moderating model training results, and designing SLIs/SLOs for EKS Clusters. More responsibilities/details as below.

  • Optimize music (UMG) pipeline with queries and memories for Elasticsearch and PostgreSQL, the pipeline saving 90% execution time from 10+ hours to 40 mins.
  • Migrate service from apache spark, AWS Data Lake Formation to AWS MWAA, EKS airflow environment. 
  • Design, and deliver distributed system for Ray Serve with AI team.
  • Design, and implement a modern machine learning pipeline for a recommendation, and moderation pipe.
  • Design SLA and implement alert log reporting system (history logs) for moderation pipeline, histories logs handling application, server levels information for further investigation.
  • Supporting other departments to gather data in the appropriate platforms.
Tech Stacks : 
  • Streaming, Snowpipe/Kinesis/Firehose
  • Monitoring, CloudWatch/Grafana
  • Orchestration, AWS MWAA / Airflow
  • Kubernetes, EKS
  • Message, SQS/SNS
  • MLflow, Ray Serve/EMR/Lambda
  • Storage, Snowflake / RDS (PostgreSQL) / ElastiCache (Redis) / Elastic search
  • Bucket, AWS S3
Reports to : VP of Data Engineering


Senior Data Engineer / Handshakes by DC Frontiers / Singapore

Oct. 2020 - May. 2021.

Description and Responsibilities: The main responsibility of the engineering team is launching ScoutAsia by Nikkei and The Financial Times Nikkei content to SGX TitanOTC's platform. Titan Users will be able to access Nikkei news articles from across 11 categories, including equities, stocks, indices, foreign exchange, and iron ore. DPP (Data team) is processing hundreds of GB articles/market/financial/relationships and organization for day-to-day operation on Azure and on-premise environments. More responsibilities/details as below.

  • Identifying, digging bottlenecks, and problem-solving especially optimizing the performance of SQL Server, NoSQL (Azure Cosmos), resource units, and message queues, reducing/saving almost 50-75% of resources. 
  • Identifying and solving the problems between machine learning/backend/frontend/DDP side and giving the advance logical/physical design of a system. Displayed technical expertise in optimizing the databases and improving the data pipeline to achieve the objective.
  • Bring in industry standards to data management to deliver data at the end objective. 
  • Building, and recruiting the new data engineering staff for the next-generation, enterprise data pipeline.
Tech Stacks : 
  • Storage, Azure Cosmos DB/Gremlin/SQL Server/MYSQL/Redis
  • Storage (Bucket), Azure Blob/AWS S3
  • Streaming/Batch/transform, Spark/Scala (90% codebase coverage)
  • Message, Azure service bus, queue storage
  • Search, Elastic search
  • Algorithm, graph/concordance
Reports to : CTO

Senior Data Engineer / 17LIVE Inc. / Taiwan, Taipei.

Feb. 2020 - Jul. 2020

Description and Responsibilities: The big challenge of 17 Media data teams is facing fast-growing data volume (processing 5-10x TB level daily), complex cooperation with stakeholders, the cost optimization of the pipeline, and refactoring big latency systems .etc. As a senior data member, I’m making a data dictionary and trying to explain/design how the whole pipeline works with each component, especially how to solve those bottlenecks. More responsibilities/details as below. 

  • Leading, and architect large-scale data pipeline for supporting scientists and shareholders. 
  • Optimize, ensure quality and play a tough role in data lake projects/data pipes. infrastructure. 
  • Define, and design stage, dimension, production, and fact tables for data warehouse (BigQuery). 
  • Coordinate with client / QA / backend team for QC lists / MongoDB change stream workers. 
  • Architect workflows with those components, Dataflow, Cloud Functions, and GCS. 
  • Recruiting (Jr./Sr.) data engineering members, setting goals, and sprint management.

Tech Stacks : 

  • Storage, GCS/BigQuery/Firebase/MongoDB/MYSQL 
  • Realtime process and Message system, DataFlow (Apache Beam) / BigQuery Streaming / MongoDB Change Stream / Fluentd / Firebase / Pub/Sub 
  • ETL/ELT workflow, Digdag / Embulk 
  • Data warehouse, Visualization, BigQuery / Superset / Chartio / Data Studio 
  • Continuous deployment, docker, CricleCI 

Reports to : Data Head

Data Engineer / Paktor Pte. Ltd. / Singapore 

Sep. 2015 - Dec. 2019.

Description and Responsibilities : This is another 0 to 1 story. As an early data member, we need to figure out the data driven policy, strategies, engineering requirements from the company. In Paktor, data / backend sides are 100% on AWS, therefore the whole data ingestion, automation and data warehouse etc. are relying on those components. We are processing 50-100x GB realtime / batch jobs and the other data sources (RDBMS, APIs) for ETL/ELT on S3, Redshift, the data platform helps our marketing / HQ scientists team getting data into insights and making good decisions. More responsibilities / details as below. 

  • Supports Big Data and batch, real-time analytical solutions leveraging transformational technologies. 
  • Optimize data pipeline on AWS using Kinesis-Firehose/Lambda/Kinesis Analytics/Data Pipeline, and optimize, resizing Redshift clusters and related scripts. 
  • Translates complex analytics requirements into detailed architecture, design, and high performing software such as machine-learning, CI/CD of recommendation pipeline. 
  • Collaborate with client / backend side developers to formulate innovative solutions to experiment and implement related algorithms. 

Tech Stacks : 

  • Storage, S3/Redshift/Aurora - Realtime process and Message system, Kinesis Firehose / SNS 
  • Data warehouse, Visualization, Redshift / Klipfolio / Metabase 
  • ETL/ELT workflow, Lambda / SNS / Batch / Python 
  • Recommendation, ML, DynamoDB / EMR / Spark / Sagemaker 
  • Metadata management, Athena (presto) / Glue / Redshift Spectrum 
  • Continuous deployment, Elasticbeanstalk / Cloudformation 
  • Operations, PagerDuty / Zapier / Cloud Watch 

Reports to : CTO, Data Head

System Analyst (Data Backend Engineer) / JSpectrum Software Limited / Hong Kong 

 Jan. 2014 - Aug 2015.

Description and Responsibilities : JSPectrum is a leading passive location-based service company in Hong Kong which holds many interesting products such as NetProbe, NetWhere, NetAd etc. In Optus (The main project in Sydney), the main responsibility of system analyst is designing / implementing data ingestion (real-time processing) / load and management data with major components of the Hadoop ecosystem. We meet the challenge to process 15,000 TPS, 60,000 inserts per second and 300 GB daily storages, therefore we are trying to optimize those components with Kafka consumers, HDFS storages and re-designing keys / columns of HBase to fulfill the requirement and deployed NetAd, whole in-house solutions on Optus. More responsibilities / details as below. 

  • Design, implement and optimize Hadoop ecosystems, MLP, real-time processing on Optus in house servers with our main product NetAd, NetWhere. We are focusing on HBase schema, HDFS, balancing Kafka consumers and more issues on data ingestion. 
  • Collaborate with shareholders and LBS team members for further requirements with HeapMap. 

Tech Stacks : 

  • Storage, HDFS / HBase
  • Realtime process and Message system, Kafka streaming, Log systems 
  • Data warehouse, Visualization, HBase / NetWhere (Dashboard) 
  • Hadoop ecosystem, Hadoop / HDFS / Zookeeper / Spark / Hive
  • ETL/ELT workflow, Spark / Hive / Scala / Java

Reports to : CTO


Senior Software Engineer / Toro Development Ltd. / Taiwan, Taipei. 

Oct. 2012 - Dec. 2013.

Description and Responsibilities : TORO is a technology business that provides a mobile platform and its associated systems, services and rules to help Brands (with initial focus on Sports Teams, Smart Cities and Streaming apps) become super-apps to generate additional revenue with minimum effort. Responsibilities as below. 

  • Design, implement and test back-office modules for NFC wallet platform, Trusted Service Managers (TSM) and distributed NFC services to end­ users / stakeholders. 
  • Implement RESTful services and deliver endpoints for wallet managers and collaborating with front­end, backend teams for further business requirements. 

Tech Stacks: MYSQL / Spring / Hibernate / XML / Apache Camel / Java / POJO .etc. 

Reports to : Head of Server Solutions


Software Engineer / Digital River / Taiwan, Taipei. 

Oct. 2011 - Sep. 2012.

Description and Responsibilities : Digital river proactive partners, providing API-based Payments & Risk, Order Management and Commerce services to leading enterprise brands. The big challenge to DR is integrating with the current module and working well with a huge code base (over 2+ millions lines), the strict process including analysis requirements, design, implement, test and code review. More responsibilities as below. 

  • Design, implement custom bundle project, bundle customized by shoppers to pick products of groups and get special discounts, the main stakeholders /users from Logitech, Microsoft. 
  • Analysis, collect business requirements, identify use cases and collaborate with business analysts and deliver related diagrams, documents. 

Tech Stacks: Oracle / Tomcat / Spring / Struts / JDO / XML / JUnit / Java / J2EE .etc. 

Reports to : Technical Development Manager


Technical Supervisor / Stark Technology Inc. / Taiwan, Taipei. 

Oct. 2008 - Sep. 2011.

Description and Responsibilities : Stark Technology (STI) is the largest domestic system integrator in Taiwan. We plan and deliver complete ICT solutions for a wide spectrum of industries through representing and reselling the world's leading products. This is made possible by using the most advanced technology, and providing the best professional services. More responsibilities / projects as below. 

  • Lead, coach JR. programmers for the development process of enterprise modules, and design Fatwire CMS components as Template/Page/Cache .etc. 
  • Design, analyze DMDB systems, and implement functions to meet the requirements of queries / storage. Optimize performance for online servers and GC tuning. 

Tech Stacks : Oracle / Sybase / Tomcat / Weblogic / Spring / Struts / Hibernate / Fatwire / Java / J2EE .etc. 

Reports to : Technical Manager


Relevant Skills and Qualifications


Big Data Tech Stacks

  • AWS Services, EC2/S3/Lambda/EMR/CloudWatch/SNS/SQS/Elastic Beanstalk 
  • AWS Big Data Solutions, Kinesis/Firehose/Athena/Redshift/Dynamodb 
  • GCP Big Data Solutions, BigQuery/PubSub/Dataflow/Cloud Functions 
  • Hadoop ecosystem, Hadoop/HDFS/Zookeeper/Hbase/Hive 
  • Spark Streaming/Apache Kafka 
  • CI/CD: Jenkins/Cloud Formation/GitLab/Grafana

Specific Skills

  • Solid, well-designed real-time streaming/batch processing, ETL systems.
  • Monitors and conducts data-pipeline / machine learning pipeline development requests through lifecycle management and ensures that the technical solution meets.
  • Diagnosing and troubleshooting Redshift and specific clusters management.
  • Development of micro-services and endpoints based on enterprise integration patterns. Knowledge over garbage collection (JVM) tuning technologies for various servers.
  • Developed multi-threading processing consuming work and managed transactions.

Certifications and Training

  • Sun Certified Web Component Developer Java 2 Platform, Enterprise Edition. 
  • Sun Certified Programmer for the Java 2 Platform. 
  • Red Hat Enterprise Directory Services and Authentication Attended. 
  • Project Management Professional (PMP)® Attended. 
  • AWS Certified Solutions Architect Attended. 
  • Big Data on AWS Attended. 
  • Azure Data Engineer AssociateAttended. 

Education


National Taiwan University, 2010 – 2011

EMBA Programs, Business Administration, Accounting, Finance and International Business.


Chinese Culture University Master of Information Management, 2002 – 2005

Computer Science, Data Mining, Expert Systems and Knowledge Base as major concentration.


Chinese Culture University, Bachelor Degree of Science in Journalism, 1998 - 2002

Resume
Profile
Ahzwaym2ourqm1t0glsc

Chin-Hung (Wilson) Liu

I am a lead architect responsible for designing and implementing a large-scale data pipeline for Lomotif, Paktor x 17LIVE, utilizing GCP/AWS/Python/Scala, in collaboration with data science and machine learning teams in Singapore and TW HQ, as well as with the Hadoop ecosystem (HDFS/HBase/Kafka) at JSpectrum in Hong Kong and Sydney. 


With over 15 years of experience in designing and developing Java/Scala/Python-based applications for daily operations, I bring:

● At least 8 years of experience in data analysis, pipeline design and development, and tool building as a team member. 

● In-depth knowledge of the Spark and Hadoop ecosystems, including Hadoop, HDFS, HBase, and more. 
● Strong skills in designing and developing Big Data services on AWS and GCP. 
 Extensive expertise in developing generic distributed systems, streaming processing, machine learning pipelines, and continuously improving ML models.


Senior Data Engineer at Paktor x 17LIVE| AWS Big Data Specialist | Data Architect 
Singapore / Hong Kong / Taiwan

[email protected]

https://www.linkedin.com/in/chin-hung-wilson-liu-29392957

Nanxing Rd., Xizhi Dist., New Taipei City, Taiwan (R.O.C.)

Experience 

Senior Data Engineer (DataOps / AI) / Lomotif Private Limited / Singapore

Jul. 2021 - Present.

Description and Responsibilities: Lomotif is a leading short video social platform in South America and India that holds PBs of videos in buckets and serves millions of users. DataOps and AI team take part in many challenging projects e.g. Ncanto, XROAD services, Ray Serve, and scalable model serving frameworks for support the recommendation and moderation pipeline, also integrated Universal Music Group music (UMG) and full catalog feed with 7digital. DataOps team handling 10TB+ data for day-to-day operation, moderating model training results, and designing SLIs/SLOs for EKS Clusters. More responsibilities/details as below.

  • Optimize music (UMG) pipeline with queries and memories for Elasticsearch and PostgreSQL, the pipeline saving 90% execution time from 10+ hours to 40 mins.
  • Migrate service from apache spark, AWS Data Lake Formation to AWS MWAA, EKS airflow environment. 
  • Design, and deliver distributed system for Ray Serve with AI team.
  • Design, and implement a modern machine learning pipeline for a recommendation, and moderation pipe.
  • Design SLA and implement alert log reporting system (history logs) for moderation pipeline, histories logs handling application, server levels information for further investigation.
  • Supporting other departments to gather data in the appropriate platforms.
Tech Stacks : 
  • Streaming, Snowpipe/Kinesis/Firehose
  • Monitoring, CloudWatch/Grafana
  • Orchestration, AWS MWAA / Airflow
  • Kubernetes, EKS
  • Message, SQS/SNS
  • MLflow, Ray Serve/EMR/Lambda
  • Storage, Snowflake / RDS (PostgreSQL) / ElastiCache (Redis) / Elastic search
  • Bucket, AWS S3
Reports to : VP of Data Engineering


Senior Data Engineer / Handshakes by DC Frontiers / Singapore

Oct. 2020 - May. 2021.

Description and Responsibilities: The main responsibility of the engineering team is launching ScoutAsia by Nikkei and The Financial Times Nikkei content to SGX TitanOTC's platform. Titan Users will be able to access Nikkei news articles from across 11 categories, including equities, stocks, indices, foreign exchange, and iron ore. DPP (Data team) is processing hundreds of GB articles/market/financial/relationships and organization for day-to-day operation on Azure and on-premise environments. More responsibilities/details as below.

  • Identifying, digging bottlenecks, and problem-solving especially optimizing the performance of SQL Server, NoSQL (Azure Cosmos), resource units, and message queues, reducing/saving almost 50-75% of resources. 
  • Identifying and solving the problems between machine learning/backend/frontend/DDP side and giving the advance logical/physical design of a system. Displayed technical expertise in optimizing the databases and improving the data pipeline to achieve the objective.
  • Bring in industry standards to data management to deliver data at the end objective. 
  • Building, and recruiting the new data engineering staff for the next-generation, enterprise data pipeline.
Tech Stacks : 
  • Storage, Azure Cosmos DB/Gremlin/SQL Server/MYSQL/Redis
  • Storage (Bucket), Azure Blob/AWS S3
  • Streaming/Batch/transform, Spark/Scala (90% codebase coverage)
  • Message, Azure service bus, queue storage
  • Search, Elastic search
  • Algorithm, graph/concordance
Reports to : CTO

Senior Data Engineer / 17LIVE Inc. / Taiwan, Taipei.

Feb. 2020 - Jul. 2020

Description and Responsibilities: The big challenge of 17 Media data teams is facing fast-growing data volume (processing 5-10x TB level daily), complex cooperation with stakeholders, the cost optimization of the pipeline, and refactoring big latency systems .etc. As a senior data member, I’m making a data dictionary and trying to explain/design how the whole pipeline works with each component, especially how to solve those bottlenecks. More responsibilities/details as below. 

  • Leading, and architect large-scale data pipeline for supporting scientists and shareholders. 
  • Optimize, ensure quality and play a tough role in data lake projects/data pipes. infrastructure. 
  • Define, and design stage, dimension, production, and fact tables for data warehouse (BigQuery). 
  • Coordinate with client / QA / backend team for QC lists / MongoDB change stream workers. 
  • Architect workflows with those components, Dataflow, Cloud Functions, and GCS. 
  • Recruiting (Jr./Sr.) data engineering members, setting goals, and sprint management.

Tech Stacks : 

  • Storage, GCS/BigQuery/Firebase/MongoDB/MYSQL 
  • Realtime process and Message system, DataFlow (Apache Beam) / BigQuery Streaming / MongoDB Change Stream / Fluentd / Firebase / Pub/Sub 
  • ETL/ELT workflow, Digdag / Embulk 
  • Data warehouse, Visualization, BigQuery / Superset / Chartio / Data Studio 
  • Continuous deployment, docker, CricleCI 

Reports to : Data Head

Data Engineer / Paktor Pte. Ltd. / Singapore 

Sep. 2015 - Dec. 2019.

Description and Responsibilities : This is another 0 to 1 story. As an early data member, we need to figure out the data driven policy, strategies, engineering requirements from the company. In Paktor, data / backend sides are 100% on AWS, therefore the whole data ingestion, automation and data warehouse etc. are relying on those components. We are processing 50-100x GB realtime / batch jobs and the other data sources (RDBMS, APIs) for ETL/ELT on S3, Redshift, the data platform helps our marketing / HQ scientists team getting data into insights and making good decisions. More responsibilities / details as below. 

  • Supports Big Data and batch, real-time analytical solutions leveraging transformational technologies. 
  • Optimize data pipeline on AWS using Kinesis-Firehose/Lambda/Kinesis Analytics/Data Pipeline, and optimize, resizing Redshift clusters and related scripts. 
  • Translates complex analytics requirements into detailed architecture, design, and high performing software such as machine-learning, CI/CD of recommendation pipeline. 
  • Collaborate with client / backend side developers to formulate innovative solutions to experiment and implement related algorithms. 

Tech Stacks : 

  • Storage, S3/Redshift/Aurora - Realtime process and Message system, Kinesis Firehose / SNS 
  • Data warehouse, Visualization, Redshift / Klipfolio / Metabase 
  • ETL/ELT workflow, Lambda / SNS / Batch / Python 
  • Recommendation, ML, DynamoDB / EMR / Spark / Sagemaker 
  • Metadata management, Athena (presto) / Glue / Redshift Spectrum 
  • Continuous deployment, Elasticbeanstalk / Cloudformation 
  • Operations, PagerDuty / Zapier / Cloud Watch 

Reports to : CTO, Data Head

System Analyst (Data Backend Engineer) / JSpectrum Software Limited / Hong Kong 

 Jan. 2014 - Aug 2015.

Description and Responsibilities : JSPectrum is a leading passive location-based service company in Hong Kong which holds many interesting products such as NetProbe, NetWhere, NetAd etc. In Optus (The main project in Sydney), the main responsibility of system analyst is designing / implementing data ingestion (real-time processing) / load and management data with major components of the Hadoop ecosystem. We meet the challenge to process 15,000 TPS, 60,000 inserts per second and 300 GB daily storages, therefore we are trying to optimize those components with Kafka consumers, HDFS storages and re-designing keys / columns of HBase to fulfill the requirement and deployed NetAd, whole in-house solutions on Optus. More responsibilities / details as below. 

  • Design, implement and optimize Hadoop ecosystems, MLP, real-time processing on Optus in house servers with our main product NetAd, NetWhere. We are focusing on HBase schema, HDFS, balancing Kafka consumers and more issues on data ingestion. 
  • Collaborate with shareholders and LBS team members for further requirements with HeapMap. 

Tech Stacks : 

  • Storage, HDFS / HBase
  • Realtime process and Message system, Kafka streaming, Log systems 
  • Data warehouse, Visualization, HBase / NetWhere (Dashboard) 
  • Hadoop ecosystem, Hadoop / HDFS / Zookeeper / Spark / Hive
  • ETL/ELT workflow, Spark / Hive / Scala / Java

Reports to : CTO


Senior Software Engineer / Toro Development Ltd. / Taiwan, Taipei. 

Oct. 2012 - Dec. 2013.

Description and Responsibilities : TORO is a technology business that provides a mobile platform and its associated systems, services and rules to help Brands (with initial focus on Sports Teams, Smart Cities and Streaming apps) become super-apps to generate additional revenue with minimum effort. Responsibilities as below. 

  • Design, implement and test back-office modules for NFC wallet platform, Trusted Service Managers (TSM) and distributed NFC services to end­ users / stakeholders. 
  • Implement RESTful services and deliver endpoints for wallet managers and collaborating with front­end, backend teams for further business requirements. 

Tech Stacks: MYSQL / Spring / Hibernate / XML / Apache Camel / Java / POJO .etc. 

Reports to : Head of Server Solutions


Software Engineer / Digital River / Taiwan, Taipei. 

Oct. 2011 - Sep. 2012.

Description and Responsibilities : Digital river proactive partners, providing API-based Payments & Risk, Order Management and Commerce services to leading enterprise brands. The big challenge to DR is integrating with the current module and working well with a huge code base (over 2+ millions lines), the strict process including analysis requirements, design, implement, test and code review. More responsibilities as below. 

  • Design, implement custom bundle project, bundle customized by shoppers to pick products of groups and get special discounts, the main stakeholders /users from Logitech, Microsoft. 
  • Analysis, collect business requirements, identify use cases and collaborate with business analysts and deliver related diagrams, documents. 

Tech Stacks: Oracle / Tomcat / Spring / Struts / JDO / XML / JUnit / Java / J2EE .etc. 

Reports to : Technical Development Manager


Technical Supervisor / Stark Technology Inc. / Taiwan, Taipei. 

Oct. 2008 - Sep. 2011.

Description and Responsibilities : Stark Technology (STI) is the largest domestic system integrator in Taiwan. We plan and deliver complete ICT solutions for a wide spectrum of industries through representing and reselling the world's leading products. This is made possible by using the most advanced technology, and providing the best professional services. More responsibilities / projects as below. 

  • Lead, coach JR. programmers for the development process of enterprise modules, and design Fatwire CMS components as Template/Page/Cache .etc. 
  • Design, analyze DMDB systems, and implement functions to meet the requirements of queries / storage. Optimize performance for online servers and GC tuning. 

Tech Stacks : Oracle / Sybase / Tomcat / Weblogic / Spring / Struts / Hibernate / Fatwire / Java / J2EE .etc. 

Reports to : Technical Manager


Relevant Skills and Qualifications


Big Data Tech Stacks

  • AWS Services, EC2/S3/Lambda/EMR/CloudWatch/SNS/SQS/Elastic Beanstalk 
  • AWS Big Data Solutions, Kinesis/Firehose/Athena/Redshift/Dynamodb 
  • GCP Big Data Solutions, BigQuery/PubSub/Dataflow/Cloud Functions 
  • Hadoop ecosystem, Hadoop/HDFS/Zookeeper/Hbase/Hive 
  • Spark Streaming/Apache Kafka 
  • CI/CD: Jenkins/Cloud Formation/GitLab/Grafana

Specific Skills

  • Solid, well-designed real-time streaming/batch processing, ETL systems.
  • Monitors and conducts data-pipeline / machine learning pipeline development requests through lifecycle management and ensures that the technical solution meets.
  • Diagnosing and troubleshooting Redshift and specific clusters management.
  • Development of micro-services and endpoints based on enterprise integration patterns. Knowledge over garbage collection (JVM) tuning technologies for various servers.
  • Developed multi-threading processing consuming work and managed transactions.

Certifications and Training

  • Sun Certified Web Component Developer Java 2 Platform, Enterprise Edition. 
  • Sun Certified Programmer for the Java 2 Platform. 
  • Red Hat Enterprise Directory Services and Authentication Attended. 
  • Project Management Professional (PMP)® Attended. 
  • AWS Certified Solutions Architect Attended. 
  • Big Data on AWS Attended. 
  • Azure Data Engineer AssociateAttended. 

Education


National Taiwan University, 2010 – 2011

EMBA Programs, Business Administration, Accounting, Finance and International Business.


Chinese Culture University Master of Information Management, 2002 – 2005

Computer Science, Data Mining, Expert Systems and Knowledge Base as major concentration.


Chinese Culture University, Bachelor Degree of Science in Journalism, 1998 - 2002