Oct 2023 – Present · 2 yrs 5 mos · India

• Cleaned, prepared, and validated large datasets by identifying discrepancies, fixing mismatches, and improving overall data reliability.
• Built and maintained ETL pipelines using SQL and Python to automate data extraction, transformation, and loading processes.
• Conducted detailed root-cause analysis on data quality issues, broken data flows, and incorrect upstream handoffs.
• Automated repetitive data tasks and quality checks, significantly reducing manual workload for cross-functional teams.
• Performed exploratory data analysis (EDA) to uncover patterns, identify anomalies, and support business decision-making.
• Created Power BI dashboards and reports to help stakeholders track key metrics, monitor trends, and interpret insights clearly.
• Implemented data validation rules and reconciliation processes to ensure accuracy and consistency across multiple data sources.
• Collaborated closely with business, QA, and technical teams to translate unclear data issues into clear, actionable problem statements.
• Documented data flows, quality checks, and troubleshooting steps to improve transparency and support future scalability.