dbt Starter Project

🛠️ DBT STARTER PROJECT

A ready-to-use starter project designed to help data teams quickly set up, organize, and scale their dbt (Data Build Tool) workflows. The dbt Starter Project provides a clean structure, example models, and best practices—making it easy to transform raw data into reliable, analytics-ready datasets.

Perfect for data analysts, engineers, and teams who want to accelerate their dbt adoption without starting from scratch.

📦 What’s Included
• Pre-configured dbt project with modular folder structure
• Example models, seeds, and tests
• Jinja + SQL macros for reusable transformations
• Documentation + dbt docs site setup
• Best practices for version control and team collaboration

🌟 Key Benefits
• Saves time with a clean, pre-built foundation
• Enforces best practices for analytics engineering
• Makes data transformations reproducible and scalable
• Improves data reliability with built-in tests
• Suitable for both new and experienced dbt users

👥 Perfect For
• Data analysts and analytics engineers
• Data engineers setting up pipelines
• Startups building their first analytics stack
• Enterprises standardizing dbt projects
• Anyone learning dbt and SQL transformations

📁 Format & Delivery
• Instant GitHub repository access
• Fully compatible with dbt Core & dbt Cloud
• Works with popular warehouses (Snowflake, BigQuery, Redshift, Postgres)
• Easy to extend and customize for your data stack