Jing Cao developed an automated daily re-materialization feature for the microbiomedata/nmdc-runtime repository, focusing on improving data freshness and operational resilience. Leveraging Python and Dagster, Jing implemented a scheduled job that atomically re-materializes the 'alldocs' collection, ensuring data consistency during updates. The work included enhancements to API error handling for update and delete operations, reducing the need for manual intervention and minimizing maintenance overhead in production environments. By integrating data engineering and database management skills, Jing addressed reliability and consistency challenges, delivering a robust solution that streamlines daily operations and supports ongoing data integrity within the nmdc-runtime project.