Serverless File Processing Pipeline with AWS Step Functions

Abstract: The Serverless File Processing Pipeline with AWS Step Functions is a cloud-based automated system designed to process uploaded files efficiently without managing physical servers. This project demonstrates how modern cloud technologies can automate document processing using a serverless architecture. When a file such as a resume or document is uploaded to Amazon S3, an event is generated that automatically triggers a workflow managed by AWS Step Functions. The workflow coordinates multiple AWS Lambda functions to perform sequential tasks such as file validation, text extraction, and data storage. The extracted content is stored in an output S3 bucket, while metadata and processing details are saved in Amazon DynamoDB for record management. Upon successful completion, a notification email is sent to the user through Amazon SNS. The architecture is event-driven, cost-effective, secure, and highly reliable. The project demonstrates real-world implementation of cloud computing concepts such as workflow orchestration, event handling, automated processing, and serverless design, providing an efficient and modern solution for automated file processing.

Keywords: Serverless Architecture, AWS Step Functions, AWS Lambda, Amazon S3, DynamoDB, Amazon SNS, Cloud Computing, Event-Driven Architecture, File Processing, Automation.