IoT Data Processing Pipeline
Engineered a real-time IoT data pipeline handling 100K+ sensor readings per second with stream processing and machine learning integration.
The Challenge
Process massive streaming data from thousands of IoT sensors in real-time with anomaly detection and predictive analytics.
The Solution
Built Kafka-based streaming architecture with Spark for distributed processing. Integrated ML models for anomaly detection and predictive maintenance. Implemented data retention and analysis pipelines.
Results & Impact
Process 100K+ events per second
Detect anomalies with 98% accuracy
Reduce equipment downtime by 40%
Enable predictive maintenance decisions
Technologies Used
Project Info
Backend
2020
More Projects
Enterprise E-Commerce Platform
Built a high-performance e-commerce platform on AWS with microservices architecture handling 500K+ daily active users and processing $10M+ in transactions monthly.
View Project →Real-Time Analytics Dashboard
Developed a real-time analytics SaaS platform that processes 1M+ events daily and provides insights to 2000+ enterprise customers.
View Project →Want to Build Something Similar?
I'm available for freelance projects and consulting. Let's discuss how I can help with your next project.
Get In Touch