Pharma Data Integration, Privacy, and Delivery Platform
Architected a unified platform for a leading pharmaceutical analytics client—handling secure cloud-based ETL, privacy-first tokenization, and automated daily data delivery. Below, each phase is broken out for clarity.
Comprehensive Solution: De-Identification, Tokenization, & Automated Delivery
Advanced Snowflake stored procedures and ETL pipelines enabled high-volume claims processing, cleansing, and de-identification—meeting the strictest privacy and compliance needs.
See Stage 1 Details →Led Datavant application registration, direct vendor collaboration, and end-to-end tokenization setup—ensuring full mapping, testing, and privacy-preserving data linkage for analytics, partner exchange, and audit.
See Stage 2 Details →Built robust Airflow (MWAA) pipelines using Python, AWS Lambda, IAM, S3, EventBridge scheduler, and YAML config—automating daily/historical data delivery for analytics and client teams with strong access controls.
See Stage 3 Details →