dbt Transformation Patterns
Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.
Use this skill when
- •Building data transformation pipelines with dbt
- •Organizing models into staging, intermediate, and marts layers
- •Implementing data quality tests and documentation
- •Creating incremental models for large datasets
- •Setting up dbt project structure and conventions
Do not use this skill when
- •The project is not using dbt or a warehouse-backed workflow
- •You only need ad-hoc SQL queries
- •There is no access to source data or schemas
Instructions
- •Define model layers, naming, and ownership.
- •Implement tests, documentation, and freshness checks.
- •Choose materializations and incremental strategies.
- •Optimize runs with selectors and CI workflows.
- •If detailed patterns are required, open
resources/implementation-playbook.md.
Resources
- •
resources/implementation-playbook.mdfor detailed dbt patterns and examples.