Eshin Yen developed the CNM-to-CMA Data Processing Integration for NASA’s Cumulus repository, enabling automated conversion of Cloud Notification Mechanism messages to the Cumulus Message Adapter format. Leveraging Python, Pydantic, and Terraform, Eshin designed robust data models with comprehensive validation and implemented unit tests to ensure reliability. The work included restructuring the project, enhancing documentation, and aligning schemas to support new CNM-to-CMA workflows, including updates to SyncGranule input handling. Eshin also improved code quality through targeted fixes and CI enhancements. This integration expanded Cumulus’s data processing capabilities and streamlined deployment, reflecting a deep, end-to-end engineering approach.