DBT [Getting Started]

If you're a data engineer, analyst, or aspiring analytics engineer looking to get started with DBT, this 60-minute 1:1 session will help you understand how DBT fits into the modern data stack and how to start building reliable transformation pipelines.

This session is designed to give you practical, hands-on guidance so you can move beyond theory and confidently begin using DBT in real projects.

What we’ll cover:

• Introduction to DBT and why it’s widely used for modern data transformations

• Understanding the core DBT concepts — models, sources, seeds, tests, and documentation

• How DBT works with warehouses like Snowflake, BigQuery, or Redshift

• Structuring a DBT project and best practices for maintainability

• Running your first DBT models and understanding the DAG

• Testing, documentation, and data quality checks in DBT

• Version control and CI/CD basics for DBT projects

• Common mistakes beginners make and how to avoid them

Who this session is for:

• Data engineers starting with DBT

• Analysts moving into analytics engineering

• Anyone working with modern data stacks who wants to learn DBT properly

What you’ll leave with:

• A clear understanding of DBT fundamentals

• Practical guidance on how to start using DBT in real projects

• Best practices that experienced data teams follow

• Recommendations on how to continue learning and practicing