Ryan expanded replay data ingestion capabilities for the Metta-AI/mettagrid repository by implementing support for gzipped JSON replay files, enabling seamless handling of both .json.gz and .json.z formats. Using Nim for back end development and data processing, Ryan introduced data-driven tests to validate the new ingestion logic, ensuring robust compatibility and reliability. This work addressed integration friction by allowing large replay datasets to be processed efficiently, improving observability and facilitating faster debugging and analytics. The changes were integrated with continuous integration workflows, demonstrating a methodical approach to test-driven development and a focus on maintainable, production-ready enhancements to the data pipeline.