Led transformation of legacy on-premise SQL Server warehouse into modern cloud-native Azure platform. Built layered architecture (Bronze/Silver/Gold) with Azure Data Lake, optimized ETL via Data Factory, and reduced data processing time by 70%. Lowered infrastructure costs by 30% while enabling near real-time reporting.

Designed and built hybrid streaming/batch analytics system for trading and risk teams. Ingested real-time trade data via event streaming, processed using Stream Analytics and Spark, and delivered insights through Power BI dashboards. Reduced data latency from hours to minutes and enhanced decision-making accuracy for traders.

Built scalable, reusable data quality and governance framework embedded in ETL pipelines. Implemented validation rules, logging, alerting, and data lineage tracking. Reduced data errors by 70%, increased stakeholder confidence, and enabled audit-ready processes across organization.

Designed curated Gold layer data models and built scalable Power BI platform with row-level security. Created star schemas optimized for analytics, enabling 100+ business users to build their own dashboards. Reduced report turnaround time by 50% and increased productivity across teams.