Perform root cause analysis of data issues to recommend/execute corrective action. Analyzes complex data and identifies anomalies, trends and risks to provide valuable intelligence to improve internal controls and mitigate financial risks. Knowledge of AWS Glue, SSIS and Azure Data Factory to perform data ingestion and ETL tasks (extraction, transformation, loading), maintain data integrity and verify pipeline stability. Customer-focused orchestrated financial packages that reflect current market trends. Use Power BI and Tableau for reporting, SQL for various data handling, and multiple Python libraries such as Pandas, Matplotlib for data transformation, validation, and presentations. Over the course of my life, I have also focused on leadership, teamwork and optimism.