ETL Pipelines & E2E Data Life Cycle

● Designed workflows with Python and SQL to provide predictive analysis on key business drivers to leadership.

● Developed cadence reports using SQL and PowerBI pipelines to transform, analyze, and interpret product utilization.

● Performed advanced data analysis using SQL and Python, to generate efficiency insights improving quality.

● Developed statistical models to forecast incident trends for estimating product and analyst portfolio.

● Implemented complex data insights into insightful visualizations using Tableau, to enable informed decision-making.

● Conducted sentiment analysis on the customer data (text data) and to identify risks and threats for risk mitigation.

● Collaborated with cross functional teams to perform impact analysis and root cause analysis to eliminate data quality issues.

● Analyzed existing enterprise data warehouses by optimizing SQL queries to improve performance and data quality.

● Created automated ETL pipelines using Python, SQL, and Looker dashboards for incident trend analysis.