data
completed
Real-time Analytics Engine
Built high-throughput analytics platform processing 1B+ events daily with machine learning integration.
Completed 2022-12
5-8 team members
6 months duration
Project Overview
Designed and implemented a real-time analytics platform that processes over 1 billion events daily, providing instant insights for business operations. The system combines stream processing, batch analytics, and machine learning to deliver actionable intelligence with sub-100ms latency.
Technical Architecture
Technology Stack
C++
Apache Spark
Kafka
Cassandra
Python
TensorFlow
Redis
Docker
Architecture Highlights
- Microservices architecture with API Gateway
- Event-driven communication patterns
- Containerized deployment with orchestration
- Comprehensive monitoring and logging
- Automated CI/CD pipeline integration
Key Achievements
Performance Optimization
Achieved 40% improvement in response times
Scalability
System now supports 10x the original load
Team Leadership
Led cross-functional team of 8 engineers
Quality Delivery
Delivered on time with 99.9% uptime