Developed and deployed the Giovanni Averaging Service in the nasa/harmony repository, enabling automated computation of time-averaged metrics over large Zarr geospatial datasets. Leveraged cloud computing and data engineering skills to configure a Dask-based distributed processing cluster, supporting scalable averaging computations. Implemented export functionality for time-averaged maps as GeoTIFF and area-averaged timeseries as CSV, improving data accessibility for analysts. Focused on production readiness by establishing CI/CD pipelines, comprehensive tests, and monitoring hooks to ensure service health and reliability. Utilized YAML for service configuration, integrating DevOps practices to streamline deployment and maintenance of reproducible analytics workflows in a production environment.