Developed YAML-driven configuration support for ABI GOES-16 and GOES-18 sensors within the GEOS-ESM/swell repository, focusing on enhancing atmospheric data processing pipelines. The work introduced automated input and output data handling, observation operators, and data-validation filters, allowing for more robust and flexible integration of observational data. By making ABI configuration optional, the solution improved system resilience when sensor data is unavailable. Leveraging skills in configuration management, data processing, and observational data analysis, the developer emphasized clear YAML-based design and collaborative code practices. This feature streamlined sensor integration and validation, accelerating the end-to-end workflow for atmospheric data ingestion and analysis.