Data Pipeline With Apache Airflow
تفاصيل العمل
A scalable ETL (Extract, Transform, Load) pipeline built with Apache Airflow to automate data workflows. The project orchestrates data ingestion from multiple sources, applies preprocessing and transformation, and stores the results in a PostgreSQL database. It also integrates machine learning model training and visualization dashboards for end-to-end data analysis. Technologies: Apache Airflow, Python, Pandas, PostgreSQL, Docker
مهارات العمل
