2 projects match this tag.
A modern ELT pipeline using Dockerized PostgreSQL, dbt for transformations, and Airflow for orchestration. This project demonstrates how to build a scalable data pipeline that extracts raw data, transforms it into analytics-ready tables, and orchestrates the workflow with Airflow.
A Python-based ETL tool that automates the process of importing data from various file formats (CSV, JSON, Excel) into PostgreSQL databases. It handles file detection, data cleaning, schema generation, and efficient data loading, making it easy for data analysts and engineers to quickly load datasets without writing custom scripts for each format.
