Building secure, scalable data platforms for banking and financial services
Production-grade data engineering projects built on Azure, Databricks, and the Claude API — all validated end-to-end in lab and cloud environments.
End-to-end AI agent automating SQL Server-to-Azure migrations across 5 stages: Assess → Decide → Migrate → Handoff → Day-to-Day Ops. Built with Claude API, PowerShell ReAct loop, and anti-hallucination grounding. The only migration tool with an automated Handoff stage that generates connection strings and migration receipts for app teams.
End-to-end Banking Lakehouse on Databricks Free Edition — 2.26M Lending Club consumer loans and 962K HMDA California mortgage applications. Full Bronze/Silver/Gold medallion architecture with Unity Catalog governance, Delta Lake CDC, time travel, Lakeflow Jobs orchestration, and Claude API AI risk narrative generation.
End-to-end Medallion Architecture on Azure Data Factory — Bronze/Silver/Gold layers on ADLS Gen2, SHIR ingestion from on-premises SQL Server, Mapping Data Flows, Key Vault Managed Identity, SOX audit trail, ForEach orchestration, GitHub CI/CD, and Azure Monitor alerting. Fully validated across 8 POCs.
Migrated 14 banking databases to Azure SQL Managed Instance via DMS with zero data loss. Separately migrated 141,050 rows via Log Replay Service with 100% row count parity. Deployed SSISDB on MI and validated SSIS package execution via Azure-SSIS IR. Azure Migrate assessment showing 87% PaaS readiness and $60K annual savings.
Real findings from the Banking Lakehouse sprint — demonstrating data engineering skills alongside banking domain knowledge.
15 years of production SQL Server DBA experience combined with modern Azure Data Engineering and AI capabilities.
Microsoft Azure certified with active pursuit of Fabric and AI engineering credentials.
Senior Azure Data Engineer and Cloud DBA roles in banking and financial services. Open to full-time and contract. Remote and Bay Area hybrid.