During June 2025, Ohkot focused on enhancing the robustness of the Code Quality Transformation Module within the IBM/data-prep-kit repository. Using Python and leveraging skills in code quality analysis and data engineering, Ohkot addressed a schema exception related to the top_two_words_percent metric by implementing stricter data-type validation and comprehensive empty-file handling. This approach reduced processing errors and improved the reliability of downstream analytics. The work was consolidated into a single squash commit, ensuring clear traceability. Ohkot’s targeted bug fix strengthened the data pipeline’s resilience, resulting in more accurate metric calculations and increased trust in the reliability of dashboard outputs.