Worked on the IMAP-Science-Operations-Center/imap_processing repository to enhance data integrity and processing efficiency for scientific data pipelines. Addressed a bug in the geometric transformation logic by ensuring that NaN and FILL_VAL values were preserved during rotations, preventing data corruption and maintaining the reliability of processed outputs. Developed a new feature for the MAG L2 processing workflow, enabling customizable output frames so users can selectively generate only the frames needed, optimizing both compute and I/O resources. All changes were implemented in Python, with thorough updates to testing and documentation to support the new parameterization and maintain robust data processing standards.