Data Processing Pipeline

A robust real-time data processing pipeline capable of handling millions of events per day. Built with Apache Kafka and Spark, it includes custom ML models for anomaly detection and predictive analytics.

This enterprise data processing pipeline was designed to handle the massive scale of data operations for a Fortune 500 company. It processes millions of events daily while maintaining sub-second latency for time-sensitive operations. The pipeline includes: - Real-time event processing - Custom ML models for anomaly detection - Data validation and cleansing - Automated alerting - Historical data archival - Multi-destination routing Built on modern data infrastructure, the system scales automatically based on load and provides comprehensive monitoring and alerting for operational excellence.