HIPAA-Compliant Data Pipelines That Scale with Trust
Building scalable, secure pipelines for next-gen health data intelligence
The Challenge
Our Approach
We delivered a secure, compliant end-to-end data engineering framework:
- Developed ingestion pipelines using AWS Glue + Snowflake
- Implemented de-identification and tokenization layers using PySpark and AWS KMS
- Built reusable data validation rules and anomaly detection
- Designed role-based access layers and audit logs for HIPAA readiness
Our team collaborated with their data science and compliance teams to ensure alignment across tech, security, and policy.
Stats
The Outcome
- Ingested and cleaned over 20M patient records with 99.97% accuracy
- Reduced ingestion-to-insight cycle from 3 days to 4 hours
- Passed third-party HIPAA audit with zero critical flags
- Unlocked predictive modeling opportunities on anonymized patient cohorts
Case Study
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