Worked on operational improvements for high-resolution sonde data handling and analysis within the GEOS-ESM/GEOSadas repository. Focused on enhancing data processing and analytic workflows by introducing new configuration and code files, streamlining both build and runtime processes for high-resolution sondes. Leveraged Fortran, Python, and CMake to establish a more robust and scalable foundation for data quality and advanced analytics. The work enabled faster deployment and improved readiness for high-resolution data analysis, addressing the need for efficient and reliable workflows in scientific computing environments. Emphasized continuous integration and version control using Git to support maintainable and reproducible development practices.