Jing Cao developed an automated daily re-materialization feature for the microbiomedata/nmdc-runtime repository, focusing on improving data freshness and operational resilience. Using 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 in production. By integrating data engineering and database management skills, Jing addressed challenges related to data consistency and reliability. The depth of the solution reflects a thoughtful approach to task scheduling and robust system design within a short project period.