Data Analyst at JPMorgan Chase

Designed and maintained end-to-end ETL pipelines on Databricks Delta Lake, integrating structured and unstructured financial data from multiple trading, liquidity and P&L systems into analytics-ready datasets. Developed PySpark transformations for multi-terabyte data, enabling real-time financial analytics and automated variance detection. Engineered SQL-based star and snowflake schemas for P&L, balance sheet and liquidity reporting across Snowflake and Databricks SQL. Implemented data quality validation and SOX-compliant checks to ensure audit-ready datasets. Conducted time-series forecasting with Prophet and XGBoost; built regression and classification models to detect abnormal expenses and revenue drift. Refined VaR and stress-testing frameworks in collaboration with Risk Analytics. Designed interactive Tableau dashboards for executives; orchestrated production ETL workflows with Airflow and AWS S3 staging. Applied CI/CD and Unity Catalog governance to analytics projects, improving