dbt Project Setup from Scratch (Part 1)| AWS S3 + Snowflake + VS Code Full Guide | Beginner Friendly

dbt Project Setup from Scratch – Part 1 In this video, we start building a real-world dbt project from the ground up! This is Part 1 of the complete setup where we prepare the full data engineering environment using VS Code, AWS, and Snowflake. You’ll learn how to set up all the foundational components required before writing your first dbt model. 🔧 What you’ll learn in this video: Install and set up VS Code for dbt development Add the dbt extension Create an AWS account on Amazon Web Services Create and configure an S3 bucket Upload and manage data in S3 Create a Snowflake account on Snowflake Configure roles and users for dbt transformations Create an AWS S3 stage to load data into Snowflake Understand different methods to load data into Snowflake This setup lays the foundation for building scalable ELT pipelines using dbt, Snowflake, and AWS. 🎯 Who is this for? Beginners learning dbt & modern data stack Data engineers & analytics engineers Anyone building end-to-end data pipelines 📌 In Part 2, we’ll connect dbt to Snowflake and start building models! 👍 If you find this helpful, don’t forget to like, subscribe, and share! #dbt #Snowflake #DataEngineering #AWSS3 #ModernDataStack #ELT #AnalyticsEngineering #awss3stageinsnowflae #snowflakestage #dataengineer