At Snap Finance, I redesigned a consumer-lending reporting platform with dbt and Amazon Redshift, cutting query and report development from 6–7 hours to 6–7 seconds. I also build near-real-time pipelines, governed cross-account data flows, and automated recovery routines for FinTech analytics.
I've modernized legacy analytics pipelines, built Python QA frameworks for validation and privacy controls, and implemented Terraform and Jenkins CI/CD deployments across AWS environments. My work spans AWS, Azure, lakehouse architecture, data governance, reliability, and cost-aware engineering.
I previously stabilized enterprise ETL operations at Accenture and improved database performance, recovery readiness, and cost control at OMNI. I also design Lakehouse-as-a-Service, Azure Databricks ingestion, governed analytics, and IoT ML platforms.
