AWS S3 File Upload + Lambda (Tutorial in Python) | Step-by-Step Guide | Event-Driven AWS Project

🚀 In this step-by-step AWS tutorial, you’ll learn how to build an **event-driven serverless project** using:

- ✅ Amazon S3 – to upload `.csv` and `.xlsx` files
- ✅ AWS Lambda – triggered automatically on file upload
- ✅ Pandas (via Lambda Layer) – to parse spreadsheet data
- ✅ Amazon DynamoDB – to store each row from the file as structured data

This project is perfect for beginners and intermediate developers looking to practice real-world AWS automation using Python.

🎯 What You’ll Learn:
- Set up S3 to trigger Lambda automatically
- Use Pandas in Lambda for CSV/XLSX parsing
- Insert parsed data into DynamoDB
- Understand event-driven architecture on AWS

🧰 **Services Used:**
- S3
- Lambda
- DynamoDB
- Lambda Layers
- CloudWatch

📁 Download Code and CSV: [https://github.com/Kobbyjust/s3-lamdba-dynamodb-trigger-tutorial.git]

💬 Drop your questions in the comments and let me know what project you want next!

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#AWS #Lambda #S3 #DynamoDB #Serverless #Python #EventDriven #AWSTutorial #awsproject

Видео AWS S3 File Upload + Lambda (Tutorial in Python) | Step-by-Step Guide | Event-Driven AWS Project канала Tech With Kobina