Worked on the datalab-org/datalab repository to address data integrity issues within the backend data model, focusing on eliminating duplication in parthood relationships between cells and samples. Applied backend development and data modeling skills to enhance indexing and update logic, ensuring that duplicate relationships could not be created and that data consistency was maintained across analytics and pipeline components. Utilized Python and unit testing to implement and validate the fix, running integrity checks across dependent modules to confirm reliability. This targeted bug fix contributed to improved data quality and reliability, supporting more accurate analytics and robust data management within the repository.