Develop backend service of PandaGo and Dine-in based on Golang and AWS. Cowork with the global team, including Singapore, Philippines, Germany. PandaGo - Cowork with global team members in different chapters, such as PM, BE, FE, QA, analyst - Lead and develop a cron-job based ETL and integrate with BigQuery - Enhance the performance of ETL by optimizing dynamoDB data schema and revamping the workflow of ETL - Develop new features and finalize the integration test - Own the service with high traffic which has over one million order per month - Own the severless architecture with AWS Lambda, SNS, SQS, DynamoDB and serverless framework Dine-in - Integrate with Google reviews and photos on Dine-in page - Coordinate with Germany team to map with the third party and integrate the asynchronous flow - Research and develop synchronous API with Goroutine to reduce the latency from downstream service - Research and develop asynchronous flows with AWS SNS, SQS - Finalized the integration test and smoke tests - Work with NoSQL database such as DynamoDB - improve service stability, security and reduce service downtime for dine-in services Skill sets: golang · AWS Dynamodb · SQS · SNS · Lambda · kubernetes

I work with cloud - AWS & Backend/DevOps. Our service is about processing streaming data. I also learned about database and common software development tools, such as git/docker/terraform/circle. Backend/DevOps: Design Backend system on Cloud platform(AWS) to process big data. - Change CICD workflow - infra: reduce the cost and enhance security.