Monthly summary for 2025-03 focusing on Dagster work in the dagster repo. The key deliverable was asset event generation for incremental-microbatch dbt models. Implemented robust asset event emission by using node_finished_at and node_status when available, with a safe fallback to data.execution_time and data.status when those fields are missing. Added tests to verify the fallback mechanism, ensuring reliability across varying log formats. This work improves asset lineage accuracy for dbt integrations, enabling better auditing and observability with minimal manual intervention. Overall impact includes increased reliability of asset events, clearer lineage, and reduced troubleshooting time. Technologies/skills demonstrated include Python/Dagster code changes, log parsing resilience, test coverage expansion, and traceable commits.