Data Engineer with strong SQL, Python, and ETL pipeline experience, specializing in data validation, automation, and query optimization. TechOps background at Paytm with hands-on work in large-scale data troubleshooting, pipeline support, data processing, and performance improvement.
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○ Analyzed large-scale transactional and operational datasets (millions of records) from high-volume
production databases using advanced SQL (complex joins, aggregations, CTEs, window functions,
subqueries) and optimized queries for performance, improving issue resolution time by ~20%.
○ Performed data validation, reconciliation, and consistency checks on large-scale production datasets
(millions of records) to ensure high data accuracy and consistency for reporting and downstream
systems.
○ Developed Python scripts for data extraction, transformation, and automation in projects, improving
efficiency and reducing manual effort.
○ Built reports, dashboards, and data visualizations using Excel, Power BI, and Tableau to track KPIs,
trends, and operational insights.
○ Supported data pipelines by performing data validation, consistency checks, and structured dataset
preparation across systems, ensuring reliable and accurate data flow.
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