AWS Solution Architect Project: Serverless Data PipelineBuilding with S3, Lambda & DynamoDB

AWS Serverless Data Processing Pipeline - Complete Architecture Walkthrough 🚀 Project Overview: In this video, I demonstrate a production-ready serverless data processing pipeline built entirely on AWS. This project showcases event-driven architecture, real-time processing, and cost-optimized cloud design. 🏗️ Architecture Components: 📦 Amazon S3 - File storage and event triggers ⚡ AWS Lambda - Serverless compute and processing 🗃️ Amazon DynamoDB - NoSQL metadata storage 👁️ Amazon CloudWatch - Monitoring and observability 🛡️ AWS IAM - Security and access control What You'll See: • Live file upload triggering automatic processing • Real-time Lambda execution and metadata extraction • DynamoDB data storage with millisecond response • End-to-end serverless architecture in action • Cost optimization strategies and performance metrics 💼 Business Value: • Zero server management - Fully serverless architecture • Real-time processing - Under 30 second end-to-end processing • Cost optimized - Less than $0.10 per month operational cost • Auto-scaling - Handles 1 to 10,000+ files automatically • Production ready - Enterprise security and monitoring 🔧 Technical Highlights: • Infrastructure as Code with Terraform • Event-driven design patterns • Least privilege IAM security • Python Lambda processing logic • CloudWatch logging and metrics 🎓 Perfect For: • AWS Solution Architect interviews • Cloud Engineer portfolio projects • Serverless architecture learning • Real-world AWS service integration 📚 Related Skills: #AWS #Serverless #CloudComputing #Terraform #Python #SolutionArchitect #DevOps #DataEngineering #CloudArchitecture #AWS #Serverless #CloudArchitecture #SolutionArchitect #AWSLambda #S3 #DynamoDB #Terraform #Python #DataProcessing #EventDriven #CloudComputing #AWSProjects #PortfolioProject #TechInterview #CloudEngineering #DevOps #InfrastructureAsCode