Part-12 || AWS S3 to DynamoDB using Lambda | CSV Upload with IAM Roles (Full Tutorial)
In this video, you will learn how to build a real-world serverless data pipeline on AWS.
We will upload a CSV file to Amazon S3, use AWS Lambda to process the file, and store the data into DynamoDB. We also configure IAM roles to securely allow Lambda to access S3 and DynamoDB.
🚀 What You’ll Learn:
✅ Upload CSV file to S3
✅ Create AWS Lambda function
✅ Read CSV data from S3 using Lambda
✅ Insert data into DynamoDB table
✅ Create and assign IAM roles (S3 + DynamoDB access)
✅ End-to-end AWS serverless integration
💡 Use Cases:
Data ingestion pipeline
Serverless ETL processing
Backend data storage system
🛠️ Technologies Used:
AWS S3
AWS Lambda
DynamoDB
IAM Roles
📌 Prerequisites:
Basic knowledge of AWS
AWS account
👍 Don’t forget to:
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