Data Engineering with dbt: Modern SQL Pipelines for Beginners

Modern data teams rely on clean, reliable data pipelines to make critical business decisions, yet managing complex SQL transformations can quickly become chaotic. This course teaches you how to streamline your data workflow using dbt (Data Build Tool), the industry standard for modern data engineering. You will transition from writing disorganized SQL queries to building modular, version-controlled, and fully tested data transformation pipelines. By understanding foundational data warehousing concepts, you will gain the skills needed to manage data models like a professional software engineer. What you'll learn: - Learn the core principles of dbt and how it fits into the modern data stack - Build modular SQL models using CTEs and ref functions to avoid code duplication - Configure automated data quality tests to ensure your analytics remain accurate - Understand version control basics with Git to collaborate on data projects safely - Apply documentation practices to automatically generate searchable data catalogs - Practice deploying and scheduling dbt runs for consistent data updates The course starts with essential data engineering terminology and warehouse concepts, then guides you through writing modular SQL transformations, implementing testing strategies, and deploying clean pipelines. It is designed for beginner data analysts, aspiring data engineers, and SQL users looking to adopt modern data transformation workflows, with no prior dbt experience required. Start reading today to transform your data analytics workflow with professional engineering practices.