What I will learn?

• Understand the core concepts of dbt (models, seeds, snapshots, tests).
• Set up and configure a dbt project from scratch.
• Write SQL models and build modular, maintainable transformations.
• Use Jinja and macros to make your SQL dynamic and reusable.
• Manage environments with profiles, sources, and targets.
• Implement data quality tests and monitor pipeline reliability.
• Leverage dbt seeds and incremental models for efficiency.
• Document your project and build a dbt docs site.
• Apply real-world examples to practice best practices in data engineering.
• Move from basics to advanced patterns (macros, packages, CI/CD integration).