During December 2024, Tkyg enhanced the header cleansing workflow in the IBM/data-prep-kit repository by developing a multi-processing performance feature. This work introduced configurable parallelism, temporary directory management, and timeout-aware error handling, all implemented in Python. By leveraging skills in parallel computing and system administration, Tkyg enabled the header cleansing module to process data more efficiently and robustly, reducing the risk of failures in long-running tasks. The update included thorough documentation and dependency adjustments to support the new capabilities. Although no separate bugs were fixed, the improved error handling addressed potential failure modes, reflecting a thoughtful and in-depth engineering approach.