At American Express, I build AWS and Databricks analytics environments for authorization, fraud, and settlement data, creating trusted datasets for dashboards and AI experimentation without exposing protected production records.
I've developed reusable Python, SQL, and PySpark ingestion frameworks with validation, CDC, idempotent reruns, recovery procedures, and data-quality controls. My work improved typical risk-workload processing time by about 25% and reduced routine pipeline recovery effort by about 30%.
Across Fortress Information Security, Comcast, Discovery, and earlier software roles, I've delivered ETL pipelines, streaming consumers, SQL models, automation, and production support. I also mentor teams on data modeling and pragmatic Databricks design while applying Terraform, governance, and cloud-cost controls.
