Streamlining Data Pipelines with DBT and GIT Integration

DBT (Data Build Tool) has revolutionized data transformation workflows, enabling data engineers to model, test, and document data within cloud data warehouses. When coupled with Git for version control, DBT enables more efficient collaboration, reproducibility, and error tracking in data engineering teams. This paper explores how integrating DBT with Git can streamline the development and deployment of data pipelines. The research focuses on the advantages of using Git for managing DBT projects, ensuring collaborative workflows, maintaining data pipeline versions, and automating deployments. We discuss best practices for integrating DBT with Git to improve data pipeline efficiency, reduce errors, and ensure a smoother CI/CD process in modern data engineering environments