• Created an automated intake system for employer deductions via SFTP and IMAP, cutting manual processing by 50% and ensuring data integrity through custom ZIP extraction and recursive file handling.
• Built a serverless data pipeline using AWS Lambda and S3 that uses environment-based JSON configurations to automatically filter and route CSV files to dynamic destinations.
• Reduced query execution time by 40% (from 1.2s to 0.7s) on datasets exceeding 3M records by simplifying nested joins and implementing clustered indexing for large-scale data retrieval.
• Built a reusable file processing engine to read and transform CSV and Excel files with flexible support for row skipping (by content or position), date extraction via regex from filenames, and handling files with missing or variable headers.
• Led a full backend rewrite and migration of the core Authentication module to modernize security protocols. Refactored legacy logic to cut technical debt and significantly improve API response times.
