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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!

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#dbt #Snowflake #DataEngineering #AWSS3 #ModernDataStack #ELT #AnalyticsEngineering #awss3stageinsnowflae #snowflakestage #dataengineer