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Enterprise Data Pipeline (UN)

TB-scale data processing infrastructure for 12 global cities with real-time monitoring

Project Screenshot

Overview

Built TB-scale data processing pipeline for 12 global cities serving UN global initiatives. Architected enterprise-grade AWS infrastructure handling 10+ TB monthly data volume with real-time monitoring and processing capabilities. Lead architect and developer for production system.

Technologies Used

AWS GlueLambdaEventBridgeStep FunctionsPySparkPython

Key Features

  • Responsive design that works seamlessly across all devices
  • Modern UI/UX with intuitive navigation and user flows
  • Optimized performance with fast load times and smooth interactions
  • Secure authentication and authorization mechanisms
  • Comprehensive testing ensuring reliability and stability

Development Process

This project was developed using agile methodologies with a focus on iterative development and continuous improvement. The development process included requirements gathering, design mockups, implementation, testing, and deployment.

Enterprise Data Pipeline (UN) | Anmol Manchanda