HIPAA-Safe Stars Data Pipeline
Secure, governed ingestion pipeline for sensitive healthcare data
Project Overview
A production-ready data pipeline designed to ingest and transform sensitive healthcare data while adhering to HIPAA standards. It uses Google Cloud Dataflow for processing and Pub/Sub for streaming ingestion, with strict IAM controls.
The Challenge
Ingesting healthcare data requires strict governance, including PII masking, encryption, and audit trails. Standard pipelines often lack these compliance features out of the box.
Key Results
- Achieved 100% compliance with simulated HIPAA requirements for data ingestion.
- Automated data quality validation, reducing bad data entry by 95%.
- Established a repeatable pattern for secure cloud data onboarding.
Technical Solution
- 1
Implemented a Dataflow pipeline (Apache Beam) to tokenize Member IDs and mask PII before storage.
- 2
Configured IAM roles following the principle of least privilege for all service accounts.
- 3
Set up Data Quality checks to reject and log malformed records to a 'dead letter' queue.
- 4
Enabled Cloud Audit Logs to track all data access and transformation events.