At Optum, I lead data engineering for an enterprise Member 360 platform, building an Agentic Data Engineering capability and a governed Azure Databricks Medallion Lakehouse across healthcare data domains. I’ve reduced priority data availability from 24 hours to under 2 hours, built 70+ PySpark, Spark SQL, dbt, and Delta Lake pipelines, and delivered certified Gold datasets and Power BI models to approximately 40 users.
Previously at Teladoc Health, I helped evolve legacy SQL Server and file-based ETL into a cloud-native Azure platform, modernizing high-volume workloads with Databricks, PySpark, Delta Lake, and incremental processing. I build reliable batch and streaming pipelines while strengthening data quality, HIPAA-compliant governance, CI/CD, and engineering practices through mentoring and technical leadership.
