
Faith Mayer developed and deployed the Giovanni Averaging Service in the nasa/harmony repository, enabling automated computation of time-averaged metrics over large Zarr geospatial datasets. She architected the service to leverage a Dask-based distributed cluster for scalable data processing, supporting the export of results as GeoTIFF maps and CSV timeseries for downstream analysis. Her work included configuring production deployment with YAML, integrating monitoring hooks, and establishing CI/CD pipelines to ensure service reliability. By focusing on cloud computing, data engineering, and DevOps practices, Faith delivered a robust, reproducible analytics workflow that addressed the need for scalable geospatial data summarization in production.
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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