dagster-io/dagster
Jan 2026 – Jan 2026
1 Month active
Languages Used
Python
Technical Skills
Pythondata engineeringtesting
Nico Albers
PROFILE
Nico Albers
Nils Albers developed dbt-core 1.11 UDF support for the dagster-io/dagster repository, enabling user-defined functions within Dagster workflows and expanding the platform’s data transformation capabilities. He focused on aligning the migration path with dbt-core 1.11 guidance, ensuring compatibility and smoother upgrades for users. The work involved Python integration and close attention to data engineering best practices, particularly around workflow extensibility. While no major bugs were fixed during this period, Nils identified test stability issues in local pytest runs, highlighting areas for future CI improvement. His contributions deepened Dagster’s integration with dbt-core and enhanced its support for complex transformations.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
0
Activity Months1
Your Network
143 peopleShared Repositories
143
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary focusing on key accomplishments for the dagster workstream. Key feature delivered: Dagster-dbt now supports dbt-core 1.11 UDFs, enabling user-defined functions within Dagster workflows and expanding data transformation capabilities. This update aligns with the migration path from dbt-core 1.11 as documented (PR guidance reference) to ensure compatibility and smoother upgrades. Changelog updated to reflect the new dbt-core 1.11 support. No separate major bug fixes recorded this month for this repo; however, local pytest runs indicated test stability concerns that should be reviewed in CI to unblock full validation. Overall impact highlights: extended platform compatibility with dbt-core 1.11, enabling customers to implement more complex transformations in Dagster pipelines, reducing manual work and future-proofing the integration. Technologies/skills demonstrated: Python integration, migration strategy, dbt-core/Dagster collaboration, and basic CI/test debugging.
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary focusing on key accomplishments for the dagster workstream. Key feature delivered: Dagster-dbt now supports dbt-core 1.11 UDFs, enabling user-defined functions within Dagster workflows and expanding data transformation capabilities. This update aligns with the migration path from dbt-core 1.11 as documented (PR guidance reference) to ensure compatibility and smoother upgrades. Changelog updated to reflect the new dbt-core 1.11 support. No separate major bug fixes recorded this month for this repo; however, local pytest runs indicated test stability concerns that should be reviewed in CI to unblock full validation. Overall impact highlights: extended platform compatibility with dbt-core 1.11, enabling customers to implement more complex transformations in Dagster pipelines, reducing manual work and future-proofing the integration. Technologies/skills demonstrated: Python integration, migration strategy, dbt-core/Dagster collaboration, and basic CI/test debugging.
January 2026
Activity
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Quality Metrics
Correctness40.0%
Maintainability60.0%
Architecture60.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Pythondata engineeringtesting
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