At Amazon, I built and operated HIPAA-eligible FHIR R4 ingestion pipelines for Amazon HealthLake, moving clinical, lab, and claims data into managed FHIR data stores at petabyte scale. I enabled downstream analytics and ML workloads with sub-second query latency.
I engineered AWS Glue, PySpark, DMS, and Kinesis ETL flows that normalized HL7v2 and C-CDA feeds into FHIR resources, reducing source onboarding from months to days. I also automated ingestion through Lambda, Step Functions, EventBridge, and S3, cutting manual load effort by more than 90%.
Previously at Capital One, I helped migrate the enterprise data warehouse to Snowflake on AWS, reducing nightly ETL runtimes from roughly 24 hours to one hour. I also built real-time Kinesis, Lambda, and DynamoDB pipelines for fraud and anomaly detection within seconds rather than hours.
Across healthcare and financial services, I focus on governed, cost-efficient data platforms with strong security, quality, and auditability. My work includes HIPAA, FFIEC/OCC, FHIR, encryption, IAM, Lake Formation, Terraform, and CI/CD practices.
