BACKEND STREAMING PRODUCTION

Real-Time Analytics Pipeline

Built a real-time analytics pipeline for processing user events and generating insights. The system ingests, processes, and aggregates events with sub-second latency, enabling real-time dashboards and data-driven decision making.

Technology Stack

Node.js Kafka PostgreSQL Redis Docker

Key Features

Kafka for event ingestion and stream processing
Redis for real-time aggregations and caching
Horizontal scaling with stateless processing nodes
Real-time dashboards with <100ms query latency
Event replay capabilities for debugging and backfilling

Technical Highlights

Designed for horizontal scalability to handle traffic spikes
Implemented exactly-once semantics for critical event processing
Used Redis Streams for ultra-fast temporal aggregations
Built comprehensive monitoring and alerting system

Need Real-Time Data Processing?

I build scalable event-driven systems and streaming pipelines. Let's discuss your requirements.

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