Stock Market Real-Time Data Analytics Pipeline on AWS

🚀 Building a Real-Time Stock Market Analytics Pipeline on AWS Author: Muhammad Awais | DevSecOps Engineer | AWS | Kubernetes | Terraform Overview ☁️ In this project, I built a fully serverless, event-driven Real-Time Stock Market Data Analytics Pipeline on AWS. The pipeline ingests live stock data, processes it, stores it, analyzes trends, and sends smart alerts — all with minimal cost and zero servers to manage. Here is what the pipeline does end to end: Streams real-time stock data from yfinance into Amazon Kinesis Data Streams Triggers AWS Lambda to process, clean, and store incoming data Stores raw data in Amazon S3 for historical analysis Stores processed data in Amazon DynamoDB for low-latency querying Queries historical data using Amazon Athena via AWS Glue Catalog Detects stock trends using moving averages (SMA-5 and SMA-20) Sends real-time buy/sell alerts via Amazon SNS (Email/SMS) Architecture at a Glance 🏗️ Python Script (yfinance) ↓ Amazon Kinesis Data Streams ↓ AWS Lambd