Developed and delivered the Data Collections Granules Presence Search feature for the nsidc/earthaccess repository, enabling users to identify data collections without associated granules. This work involved updating backend APIs and data models in Python to introduce a has_granules parameter across search_datasets and DataCollections, allowing for targeted searches based on granule presence. The implementation supports improved data discovery, quality assurance workflows, and downstream analytics by making granule-free collections easily identifiable. Leveraging skills in API development, backend development, and software engineering, the feature was linked to a specific feature request for traceability and integrated seamlessly into the existing codebase.