Worked on enhancing the reliability of the MQSMaster repository’s data ingestion pipeline by addressing a critical issue in the fetch_articles.py script. Improved the script’s execution by ensuring the main function is properly invoked when run directly, which stabilized both automated and manual runs. This fix, delivered through disciplined version control and two targeted commits, reduced intermittent failures and minimized the need for manual intervention. Leveraged Python and scripting expertise to deliver a production-grade solution that improved data freshness and analytics readiness. Demonstrated a methodical approach to bug fixing, focusing on robust data processing and operational reliability within the existing codebase.