This project involves building a fully serverless, event-driven data processing pipeline designed to automatically ingest, transform, and store various types of data in response to specific events. Leveraging cloud-native serverless services like AWS Lambda, S3, SQS, and DynamoDB, the solution will be highly scalable, cost-effective, and require minimal operational overhead. The pipeline will demonstrate efficient event-driven architecture principles by processing data such as log files, sensor readings, or user uploads, providing a robust and flexible data handling system.