Worked on the DS4SD/docling repository to deliver a performance optimization for the MsExcel backend, focusing on accelerating Excel file processing within the data ingestion pipeline. Refactored the _find_table_bounds function to utilize openpyxl’s iter_rows and iter_cols methods instead of Worksheet.cell, which improved processing speed and efficiency. Addressed the correct handling of merged cells and adjusted for 1-based indexing, ensuring accurate data extraction from Excel files. The work leveraged Python for backend development and emphasized performance optimization and Excel processing. This contribution enhanced throughput for large-scale data workflows, demonstrating depth in backend engineering and attention to detail in data handling.