Lucca Dibe enhanced the apache/systemds repository by generalizing the HDF5 reader to support multiple file formats and introducing improved error handling. Leveraging Java and R, Lucca implemented extension-based format detection and parallel I/O, enabling more efficient data processing for large datasets. The work included expanding unit test coverage to validate HDF5 file handling, which reduces read-time failures and simplifies future maintenance. By focusing on data processing, parallel computing, and robust testing, Lucca’s contributions addressed SYSTEMDS-3929 and related issues, resulting in a more flexible and reliable HDF5 ingestion pipeline that streamlines data handling for diverse analytical workflows.