Resume Intake Pipeline

A cloud-based resume intake solution using MuleSoft and AWS S3 that accepts applicant information and PDF resumes through a REST API.

Technologies Used: MuleSoft 4, Anypoint Studio, DataWeave 2.0, AWS S3 (Access Controls), AWS IAM (Users, Policies), HTTP Listener, Postman, cURL, Maven, Java 17

The Resume Intake Pipeline automates the collection and storage of applicant resumes. Users submit applicant details and PDF resumes through an API endpoint. MuleSoft processes the multipart request, extracts applicant information, generates a structured storage location, and uploads the resume to AWS S3.

Key Features:

  • Accepts multipart form-data requests containing applicant information and PDF resumes

  • Processes uploaded files using MuleSoft DataWeave transformations

  • Dynamically organizes resumes into position-based folders

  • Generates standardized timestamped filenames

  • Uploads files securely to Amazon S3

  • Uses IAM-authenticated cloud integrations

  • Returns JSON-based API responses

  • Prevents file naming conflicts through automated timestamp generation

  • Demonstrates cloud-based document management workflows

Architecture:

Applicant —> Postman —> MuleSoft API Layer —> Multipart Form Processing —> DataWeave Transformations —> AWS S3 Connector —> Amazon S3 Storage

MuleSoft Integration Flow

IAM Policy Configuration

Postman Request and API Response

AWS S3 Storage Structure

Challenges & Solutions

  • Utilized MuleSoft payload parts to extract applicant information and file content

  • Configured IAM users, policies and bucket permissions

  • Generated folder structures using DataWeave transformations

  • Implemented timestamp-based naming conventions

  • Validated bucket names, ARNs, and connector settings

  • Used logging and iterative testing with Postman and cURL

What I Learned

  • Building REST APIs with MuleSoft

  • Processing multipart form-data requests

  • Using DataWeave for transformations and dynamic routing

  • Configuring AWS IAM users and policies

  • Integrating MuleSoft with Amazon S3

  • Implementing secure cloud storage workflows

  • Troubleshooting authentication and permission issues

  • Designing enterprise integration architectures

  • Managing file uploads and cloud-based document storage

Future Improvements

  • Store applicant metadata in DynamoDB

  • Add email notifications for successful submissions

  • Add file validation

  • Implement duplicate resume detection