During February 2025, A01659057 developed foundational data ingestion capabilities for the IDM4s-2025/df-manipulation642 repository, focusing on establishing a reproducible and scalable data pipeline. They introduced initial CSV assets for training and testing, while updating the .gitignore to ensure proper repository hygiene and prevent accidental data exposure. Their work included careful file management and data deletion, removing mistakenly committed datasets to reduce the repository’s footprint and maintain clean version control. By leveraging data engineering skills and attention to repository structure, A01659057 enabled a streamlined setup process that supports efficient downstream integration and maintains best practices for collaborative data workflows.