dagster-io/dagster
Jan 2026 – Jan 2026
1 Month active
Languages Used
PythonYAML
Technical Skills
API integrationAWS Services IntegrationComponent DevelopmentPydanticPythonTesting
michalcabir-ui
PROFILE
Michalcabir-ui
Michal Cabir developed three core features for the dagster-io/dagster repository, focusing on backend and infrastructure automation. He enhanced Looker integration by enabling YAML-based configuration for Persistent Derived Tables, using Pydantic for schema validation and unit tests to ensure reliability without requiring a live Looker connection. For Databricks, he built a component that automatically discovers jobs and maps them to Dagster assets, leveraging asynchronous Python programming for efficient API interaction and robust state management. Additionally, he established foundational AWS service components with YAML configuration and Jinja2 templating, improving deployment consistency and reducing manual setup across S3, Athena, and Redshift.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
1,941
Activity Months1
Your Network
144 peopleSame Organization
@cherrypick-consulting.com1
Shared Repositories
143
Work History
January 2026
3 Commits • 3 Features
Jan 1, 2026January 2026 delivered three major capabilities across Looker, Databricks, and AWS components, strengthening declarative configuration, automated resource discovery, and templated infrastructure. These efforts reduce manual setup, increase the reliability of data workflows, and provide measurable business value through faster onboarding, safer deployments, and improved governance.
3 Commits • 3 Features
Jan 1, 2026January 2026 delivered three major capabilities across Looker, Databricks, and AWS components, strengthening declarative configuration, automated resource discovery, and templated infrastructure. These efforts reduce manual setup, increase the reliability of data workflows, and provide measurable business value through faster onboarding, safer deployments, and improved governance.
January 2026
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability86.6%
Architecture100.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
API integrationAWS Services IntegrationComponent DevelopmentPydanticPythonTestingYAMLYAML Configurationasynchronous programmingbackend developmentdata serializationfull stack developmenttestingunit testing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline