Worked on the ConsultingMD/dbt-core repository to address a core stability issue by resolving a circular dependency within the codebase. The approach involved analyzing and restructuring the import graph, as well as removing redundant code to streamline module interactions. This backend development effort, implemented in Python, eliminated import-time failures that previously affected downstream data processing pipelines. By focusing on dependency management and code cleanup, the changes improved both the readability and maintainability of the project. The work resulted in a more robust module loading process, reducing the risk of runtime errors and supporting the long-term health of the dbt-core codebase.