Parth Goel.

Engineered Python data processing pipelines to process backend operational data and generate MIS, billing, and performance reports for 3 reporting workflows, improving data reliability and reducing manual reporting effort. Performed production data extraction, validation, and reconciliation using MySQL and SQL queries across multiple production databases and 100+ tables, ensuring consistency between operational dashboards and reporting systems. Developed Python and Selenium verification scripts to validate MIS panel outputs against backend data sources, automating validation across 6 workflows and reducing manual QA verification effort during operational deployments.

Designed Python and PowerShell scripts to securely migrate confidential government personnel records across systems, implementing encrypted transfer mechanisms and automated integrity checks for 50K+ records. Implemented backend data validation and automated reconciliation workflows to identify inconsistencies across data tables, reducing manual verification effort by 90% while ensuring data accuracy and audit compliance.

Delivered an Asset Management System with database schemas and reporting modules enabling real-time asset tracking and visibility, while Python automation reduced report generation time from 2 hours to 10 minutes.