Senior Data Engineer
- Architected and Implemented a complete, scalable Medallion Architecture pipeline for critical patient data, including vitals, insurance claims, and complex clinical workflows, using PostgreSQL, AWS Glue, PySpark, and Airflow.
- Engineered patient program ingestion and claims processing pipelines, focusing on advanced JSON-based data transformations and schema enforcement.
- Delivered the UCM + Cardio1 Analytics Layer, featuring automated dashboards (Power BI, DAX) integrated with Python-based LLM agents for real-time insight generation.
- Designed a highly layered (Medallion-style) data platform within Redshift and S3 for advanced telecom usage and billing analytics, handling massive transactional datasets.
- Developed automated ETL processes leveraging AWS Glue and PySpark for data cleansing and aggregation.
- Implemented end-to-end ETL pipelines for auto retail data and built data ingestion frameworks, including web scraping using Scrapy/Kapow and ETL automation via Talend.
- Developed large-scale data pipelines for real estate products and built structured ETL workflows for equipment rental marketplaces using Talend, MySQL, and PostgreSQL.
- Engineered robust pipelines for a digital insurance marketplace, focusing on data integrity and transactional completeness.
- Built ETL workflows for an AI-driven fashion recommendation engine, processing large volumes of unstructured data.

