
Faith Mayer developed and deployed the Giovanni Averaging Service for the nasa/harmony repository, enabling automated computation of time-averaged metrics and area-averaged timeseries from large Zarr geospatial datasets. Leveraging cloud computing and data engineering skills, Faith configured a Dask-based distributed processing cluster to efficiently handle averaging computations at scale. The service exports results as GeoTIFF maps and CSV timeseries, improving accessibility for downstream analysis. Production deployment included YAML-based configuration, CI/CD pipelines, and monitoring hooks to ensure reliability and maintainability. The work demonstrated depth in DevOps and cloud-native engineering, delivering a robust analytics service ready for operational use.

September 2025: Delivered and stabilized the Giovanni Averaging Service in nasa/harmony production. The service computes time-averaged metrics over specified dimensions on Zarr data using a Dask cluster, exporting time-averaged maps as GeoTIFF and area-averaged timeseries as CSV. Production deployment included service configuration and monitoring hooks, paving the way for scalable, reproducible analytics on large geospatial datasets.
September 2025: Delivered and stabilized the Giovanni Averaging Service in nasa/harmony production. The service computes time-averaged metrics over specified dimensions on Zarr data using a Dask cluster, exporting time-averaged maps as GeoTIFF and area-averaged timeseries as CSV. Production deployment included service configuration and monitoring hooks, paving the way for scalable, reproducible analytics on large geospatial datasets.
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