At Etleap, I lead the architecture and evolution of cloud-native data platforms that support analytics, operational intelligence, and machine learning. I design production data pipelines for batch and real-time workloads.
I modernized legacy ETL workflows into standardized dbt and Apache Airflow frameworks, and established reusable patterns for orchestration, testing, and deployment. I also design data warehouse, data lake, and lakehouse architectures.
At RTS Labs, I engineered data solutions that brought together clinical, claims, patient, and operational data for analytics and downstream applications. I supported healthcare interoperability standards including HIPAA, HL7, and FHIR.
Earlier, at CareRev, I developed Python and SQL pipelines for SaaS, CRM, application, and operational data, and supported the migration of analytical workloads from SQL Server to Amazon Redshift. Across these roles, I’ve worked on data quality, governance, and ML-ready datasets.

