Project Overview

Enterprise Data Pipeline and ETL Platform

A scalable data pipeline platform that automates data extraction, transformation, and loading (ETL) processes. The platform handles batch and real-time data processing with support for various data sources and destinations.

Built with Apache Airflow, Apache Kafka, and cloud data services, the platform provides data quality checks, error handling, data lineage tracking, and automated scheduling. It processes terabytes of data daily.

Key Features

• Automated ETL/ELT pipelines
• Batch and real-time data processing
• Data quality validation and monitoring
• Data lineage and cataloging
• Scalable architecture for large datasets

The platform processes over 50TB of data daily for enterprise clients, reducing data processing time by 75% and ensuring 99.9% data quality accuracy.