HIPAA-compliant healthcare analytics platform with dimensional modeling, CDC from clinical systems, and data quality framework with comprehensive lineage tracking.
Developed a HIPAA-compliant healthcare analytics platform using dimensional modeling and CDC from clinical systems. Implemented comprehensive data quality framework with lineage tracking and built Airflow workflows with Grafana observability managing 100+ daily processes. The platform processes patient records for clinical analytics while maintaining strict regulatory compliance and security standards.
Built secure ETL pipelines on AWS with appropriate encryption, access controls, and audit logging for PHI/PII handling. Implemented data lake on S3 with encryption at rest and in transit, maintaining security for sensitive healthcare information. All components designed with HIPAA compliance requirements including audit trails and access controls.
Designed dimensional data models following Kimball methodology optimized for healthcare dashboard query performance. Implemented slowly changing dimensions for tracking patient history, fact tables for clinical events, and conformed dimensions ensuring consistency across the enterprise. The model supports complex analytics including patient outcomes, treatment effectiveness, and resource utilization.
Implemented Change Data Capture pipelines capturing real-time changes from EHR systems ensuring data availability for clinical decisions. Integrated with Epic Clarity, HL7 feeds, and FHIR APIs for comprehensive clinical data ingestion. CDC pipelines maintain data freshness without impacting source system performance, enabling near real-time analytics.
Secure architecture with encryption, access controls, and comprehensive audit trails.
Python-based framework validating completeness and accuracy across pipeline stages.
Real-time sync from EHR systems including Epic Clarity and FHIR APIs.
Managing 100+ daily workflows with Grafana monitoring and automated alerts.
The healthcare analytics platform reduced manual data errors by 40% through automated validation and reconciliation. Improved clinical decision-making with near real-time data availability from EHR systems. Successfully managing 100+ daily ETL workflows with high reliability and comprehensive observability. The platform maintains HIPAA compliance while providing clinical teams with actionable insights improving patient outcomes and operational efficiency.