Real-Time Kafka Streaming Analytics System

Industry: Technology, Software, Data Analytics Duration: 5 Months Project Cost: $9,500 Started On: June 2024 Developed a real-time event streaming and analytics platform for processing high-volume transactional data with minimal latency. The client needed a scalable architecture capable of handling live business events, processing streaming data in real time, and generating operational insights instantly. I designed a distributed Kafka-based event pipeline and developed Python consumers for processing and transforming incoming data streams. The system included fault-tolerant stream processing, automated monitoring, Docker-based deployment pipelines, and scalable microservices architecture orchestrated through Kubernetes. Key achievements: • Built a scalable event-driven architecture • Enabled real-time analytics and monitoring • Improved system reliability and fault tolerance • Reduced latency in data processing operations Technologies: Apache Kafka, Python, Docker, Kubernetes, PostgreSQL, GitLab CI/CD