- Built scalable, cloud-native data pipelines in Python and SQL, and responsible for managing up to 100+ pipelines. -Processed structured and semi-structured data, storing them in Snowflake, MongoDB, and Azure SQL, supporting data workflows across 5+ business units and enabling a 30% improvement in reporting efficiency. - Design and build data pipelines for unstructured data such as images and perform preprocessing, storage, and integration into downstream systems. - Designed ingestion pipelines integrating various APIs and queue systems to support high-volume asynchronous data ingestion with minimal latency. - Deployed ETL workflows on AWS (Lambda, S3, EC2) and Azure (ADF, Functions) using CI/CD pipelines, improving deployment speed and reducing downtime. - Developed geospatial pipelines by integrating GIS shapefiles and geocoding APIs, improving address accuracy across >1,000,000 property records. - Automated data scraping workflows using Playwright and Python for public data collection, supporting near real-time updates and cloud integration. - Collaborated in agile teams, continuously improving data validation and quality control processes using source control and automated testing.

- Lead collaboration efforts with cross-functional teams to establish smooth communication during integration of diverse financial solutions. - Maintained transaction success rate of over 95% across all corridors, ensuring high reliability for users and partners. - Develop and maintain interactive data visualizations in PowerBI to track key performance metrics effectively. - Collaborate with developers to ensure API designs meet user needs and integrate seamlessly with existing systems. - Develop automated reporting solutions to enhance data accessibility and accuracy for various stakeholders. - Redesign transaction workflows to enhance processing speeds by reducing redundant steps and increasing system efficiency, resulting in transactions completing within 10 seconds. - Implement best practices for documentation and knowledge sharing to enhance team efficiency and onboarding.

- Analyzed user needs and collaborating with product managers to enhance system design efficiencies. - Conducted comprehensive testing on change requests for production deployment to ensure system integrity and functionality. - Assisted in developing product specifications and user stories to align the team's efforts with strategic goals.