dbt-transforms

What problem does it solve?

This Skill provides comprehensive guidance for building robust, scalable, and maintainable data transformations using dbt (data build tool), addressing the complexities of project structure, modeling, testing, and deployment.

Core Features & Use Cases

• Project Structure & Modeling: Implement best practices for staging, intermediate, and mart layers using Medallion and Kimball methodologies.
• Testing & Quality: Define and implement a testing pyramid, including schema, generic, and unit tests, to ensure data integrity.
• CI/CD & Deployment: Set up automated workflows for building, testing, and deploying dbt projects.
• Performance Optimization: Optimize incremental models and warehouse-specific performance tuning for Snowflake and BigQuery.
• Use Case: You need to build a new dbt project for your company's sales data, establishing staging models for raw sources, intermediate models for business logic, and mart models for reporting, complete with tests and a CI/CD pipeline.

Quick Start

Set up a dbt project with staging and marts layers for a Snowflake warehouse.