United States
I build data systems that businesses can trust. Over the past 5+ years, I’ve worked across insurance, fintech, and healthcare environments designing and modernizing cloud-native data platforms that power risk analytics, regulatory reporting, and enterprise decision-making. My focus has never been just building pipelines - it’s building reliable, governed, production-grade data ecosystems that scale. I’ve led distributed teams, modernized legacy ETL environments, and delivered SLA-driven analytics platforms across AWS and Azure ecosystems. Whether migrating Informatica pipelines to Databricks, engineering AML data warehouses on Snowflake, or improving orchestration frameworks across 18+ production systems, I operate at the intersection of architecture, governance, and execution. CAREER HIGHLIGHTS: • Led a 7-member offshore team delivering enterprise-scale ETL/ELT pipelines for claims, member, and provider analytics with full SLA compliance. • Improved reporting efficiency by 30% and data accuracy by 25% through dimensional modeling and SQL optimization, supporting 4 regulatory workflows. • Reduced orchestration overhead by 30% across 18 production pipelines through ETL modernization and Databricks migration readiness. • Engineered 70+ AWS-based data pipelines supporting loan origination, credit risk, and transaction analytics across 8 financial systems. I’m particularly drawn to complex, regulated environments where precision, uptime, and compliance are non-negotiable. I enjoy translating ambiguous business requirements into structured, scalable data models, ensuring downstream analytics, actuarial models, and executive dashboards are powered by clean, validated data. If you find this interesting, let’s connect!
Insights and Data Division