Developed foundational data handling infrastructure and project scaffolding for the data-hydenv/data repository, focusing on backend development and data processing using JavaScript and Python. The work centered on establishing a clear repository structure and essential files to support future data models and ingestion pipelines, laying the groundwork for scalable data workflows. By prioritizing robust file management and modular architecture, the project improved onboarding efficiency and collaboration readiness for subsequent contributors. No major bug fixes were addressed during this period, as efforts were dedicated to creating a maintainable baseline that accelerates downstream feature delivery and supports long-term business value for the codebase.