Developed multi-file dataset ingestion capabilities for the nominal-io/nominal-client repository, focusing on supporting both MCAP and Dataflash formats. The work involved backend API integration and enhancements to dataset management, enabling users to create new datasets or append multiple files across different formats within a unified workflow. Leveraging Python for backend development, the implementation streamlined the onboarding of large datasets and expanded cross-format ingestion, resulting in faster time-to-insight for users. The approach emphasized robust data engineering practices and full stack development, with particular attention to endpoint design and format handling, though no major bug fixes were addressed during this period.