A regional healthcare network across 4 hospitals and 18 clinics managed patient data in three separate EMR systems while billing and scheduling lived elsewhere. We built a HIPAA-compliant data engineering platform on Snowflake, with Apache Airflow orchestration, dbt transformations, and intelligent PHI tokenization, reducing reporting latency from 72 hours to 4 hours.
The health network had grown through acquisition and merger, leaving patient data scattered across three different EMR platforms. Clinical staff struggled to access complete patient history, while analytics teams couldn't answer basic questions about network performance, patient outcomes, or operational efficiency because data lived in silos.
Additionally, billing data sat in a separate system, and scheduling information was yet another platform. Reporting could only happen through manual exports and Excel consolidation, taking three days. The organization needed a unified, HIPAA-compliant data foundation that could support both operational reporting and clinical analytics.
We analyzed all source systems, designed FHIR-compliant mappings, built Airflow DAGs to orchestrate nightly extractions, layered dbt transformations to build dimensional models in Snowflake, and added a PHI tokenization layer for privacy and audit compliance.
Automated nightly orchestration with failover and retry logic. Analytics team no longer manually consolidates data. Infrastructure is self-healing with SLA monitoring.
From 72-hour manual consolidation to 4-hour automated pipeline. Clinical and operations teams now make decisions on fresh data instead of week-old snapshots.
All personally identifiable information tokenized with mapping controls. HIPAA audit passed. Access controls and encryption in place for all data flows.
Workflow orchestration for EMR extractions, scheduling, retry logic, and error alerting. DAGs ensure consistent, repeatable nightly data pipelines.
SQL-first transformation framework for FHIR mappings, patient deduplication, dimensional modeling, and data quality. Lineage tracking for compliance audits.
Cloud data warehouse hosting unified patient, clinical, and billing dimensions with instant scalability and zero-copy cloning for secure test environments.
Data transformation logic, PHI encryption and tokenization, HL7 FHIR processing with pandas and PySpark. Full HIPAA audit trail maintenance.
Bring the problem. We'll come back with a written brief, what to build, what to defer, and where AI actually moves the number. No deck pitches.