AWS Lambda Data Processing PoC

I’m building a proof-of-concept that processes banking data with AWS Lambda and serves the resulting artifacts from an S3-hosted site. The core of the job is to design and code a small set of Lambda functions dedicated to data processing, wire them to S3 events, and secure everything with properly scoped IAM roles. What I already have: • An AWS account ready for you to work in. • Sample banking datasets for the PoC. What I need from you: 1. Lambda functions that ingest the banking data dropped into a designated S3 bucket, run the processing logic (Python preferred, open to Node.js), and write the transformed output back to S3. 2. A clean folder structure in the repository plus clear deployment scripts (SAM or Terraform—your choice as long as it’s repeatable). 3. IAM roles configured for: • Access control • Service integration • Monitoring and compliance Make sure least-privilege principles are followed and CloudWatch logs/metrics are enabled for auditability. 4. S3 static-site configuration so the processed results can be browsed via a simple web front end. 5. Quick README that explains how to deploy, trigger, and test the entire flow. Acceptance criteria: • Dropping a sample file into the input bucket triggers the Lambda automatically. • Processed data lands in the output bucket within seconds, with logs visible in CloudWatch. • The S3 website URL serves up the new output without manual intervention. • All IAM policies are human-readable and pass an AWS IAM Access Analyzer scan with no high-risk findings. If this sounds straightforward for you, let’s get it running.