Enterprise ETL Pipeline for Firewall Logs

2024
Data Engineering
4 months development

A comprehensive Extract-Transform-Load pipeline designed for processing firewall logs at scale. Implements API integration, data transformation, and multi-database storage with MongoDB and PostgreSQL, orchestrated by Apache Airflow.

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About This Project

This enterprise-grade ETL pipeline is designed to handle massive volumes of firewall log data, transforming raw security events into actionable insights. The system integrates with multiple data sources through secure APIs and processes data in near real-time.

Built with scalability in mind, the pipeline utilizes Apache Airflow for orchestration, ensuring reliable scheduling and monitoring of data workflows. Data is stored in both MongoDB for flexible querying and PostgreSQL for structured analytics.

Key Features

High-throughput log ingestion from multiple firewalls
Real-time data transformation and enrichment
Apache Airflow DAG orchestration
Dual database storage (MongoDB + PostgreSQL)
Automated data quality checks
Comprehensive logging and monitoring