Build reliable data pipelines for analytics.
Guides the design and implementation of data pipelines, analytical models, and data quality checks.
When to use it
Use when designing data architectures, building or optimizing pipelines, implementing governance, or troubleshooting data issues.
Give it a data engineering task in your project; it builds pipeline configurations, data models, or data quality checks.
What you provide
Python 3 is needed to run the bundled command-line scripts.
No additional actions listed.