At Databricks, I lead the architecture and roadmap for a multi-cloud telemetry lakehouse that brings together more than 30 operational sources across AWS, Azure, and GCP. It processes approximately 3.2 TB daily for product, engineering, finance, support, and data science teams.
I designed batch and near-real-time pipelines that reduced median source-to-query latency from 42 to 14 minutes. I also built governed Delta Lake medallion layers and dimensional models that support more than 60 datasets and 40+ AI/BI dashboards.
At Change Healthcare, I built pipelines and data models for claims, clinical interoperability, payment analytics, and population-health use cases. I worked with healthcare standards including X12 837/835, HL7, and FHIR, while adding reconciliation and data-quality controls that reduced recurring production issues by approximately 35%.
At PayPal, I developed Java and Scala services for the Gimel Data API, enhanced Kafka connectors, and extended PCatalog metadata capabilities. Across these roles, I’ve worked on reliable, governed data platforms, from production operations and observability to secure access and data discovery.
