September 2025 focused on strengthening data quality tooling through targeted refactors and bug fixes across atlas-metastore and atlan-python. Key efforts included a typedef migration in atlan-python to improve consistency and maintainability, targeted fixes to asset attribute references and imports, and alignment of tests with naming policy for DataQualityTemplate in Elasticsearch queries. These changes reduced runtime failures, improved test stability, and lowered maintenance costs by clarifying configuration attributes, removing circular dependencies, and ensuring reliable template rendering. Overall, the work delivered tangible business value by hardening data quality checks, accelerating onboarding for new contributors, and enabling more predictable data governance workflows.