Finnhub Streaming Data Pipeline

Production-grade real-time analytics pipeline for financial market data using modern streaming architecture

Overview

A sophisticated real-time analytics pipeline for processing financial market data from Finnhub’s WebSocket API. The system demonstrates a highly scalable, cloud-native architecture focused on low latency and high availability.

Technical Details

Data Ingestion Layer

  • Python-based Kafka producer
  • WebSocket API integration
  • Avro message serialization
  • Schema registry management
  • Docker containerization

Stream Processing

  • Spark Structured Streaming
  • Real-time data transformations
  • Window-based aggregations
  • Scala implementation
  • Kubernetes deployment

Storage and Analytics

  • Cassandra NoSQL database
  • Optimized schema design
  • Real-time Grafana dashboards
  • Sub-second data refresh
  • High-throughput writes

Infrastructure

  • Kubernetes orchestration
  • Terraform IaC
  • Multi-cloud compatibility
  • Monitoring and logging
  • High availability setup

Implementation Results

The system achieved significant milestones:

  • Sub-second data processing latency
  • Highly available distributed system
  • Cloud-agnostic deployment
  • Scalable data processing
  • Real-time analytics capabilities

Technical Stack

  • Apache Kafka for streaming
  • Spark for processing
  • Cassandra for storage
  • Kubernetes for orchestration
  • Terraform for infrastructure
  • Python and Scala for development
  • Grafana for visualization
  • Docker for containerization