Real-Time Analytics Engine for Global E-Commerce Platform
Ultra-high-performance streaming analytics platform for global e-commerce
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Built a high-throughput, distributed data streaming platform processing 15M+ events per second with sub-50ms latency for real-time fraud detection, personalized recommendations, and business intelligence. This scalable solution powers a major US e-commerce platform serving 50M+ customers globally.
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Project Overview
Architected and implemented a massive-scale, real-time analytics engine for a major US e-commerce platform. This mission-critical system processes billions of customer interactions, transactions, and behavioral events daily to power real-time fraud detection, personalized product recommendations, dynamic pricing, and operational monitoring across multiple countries and languages.
The Challenge
The client's legacy batch processing system created a 6-18 hour data lag, making real-time fraud detection impossible and resulting in $50M+ annual losses. The system couldn't handle peak traffic loads (Black Friday, Cyber Monday), personalization was static and ineffective, and business analysts couldn't make data-driven decisions due to stale information. The company needed a solution that could process massive data volumes in real-time while maintaining strict data accuracy and system reliability.
Our Solution
Designed and implemented a Lambda architecture combining real-time stream processing with batch analytics using Apache Kafka for event ingestion, Apache Flink for complex event processing, and Apache Cassandra for ultra-fast data storage. Built custom ML models for real-time fraud scoring, recommendation generation, and dynamic pricing optimization. Implemented a microservices architecture on Kubernetes with automatic scaling, comprehensive monitoring, and multi-region disaster recovery.
Technology Stack
Key Achievements
Visual journey throughour solution
"This real-time analytics platform has been a game-changer for our business. We can now detect and prevent fraud in milliseconds, deliver hyper-personalized experiences, and make data-driven decisions in real-time. The impact on our bottom line has been extraordinary."
Confidential US E-Commerce Giant
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