Secure Healthcare Data Pipeline

A production-grade healthcare data pipeline demonstrating modern DevOps practices, security implementations, and cloud-native architecture. Built with FastAPI and designed for HIPAA compliance, this project showcases real-world enterprise development and deployment patterns.

🎯 Project Overview

This project implements a secure, scalable healthcare data processing pipeline with features essential for production deployment:

• Secure API Gateway: JWT-based authentication with role-based access control
• Real-time Monitoring: Custom healthcare metrics and performance tracking
• Container Orchestration: Production-ready Docker deployment
• Automated DevOps Pipeline: Continuous integration and deployment with GitHub Actions
• Cloud Infrastructure: AWS deployment with security best practices

🚀 Key Features

Security & Compliance

• Authentication & Authorization

  • JWT-based authentication system
  • Protected API endpoints with role-based access
  • Secure password hashing and token management

• Data Protection

  • HIPAA compliance considerations
  • Secure data handling patterns
  • Audit logging for compliance tracking

Infrastructure & Deployment

• Containerization

  • Multi-stage Docker builds for optimization
  • Docker Compose for local development
  • Container security best practices

• CI/CD Pipeline

  • Automated testing and validation
  • Docker image builds and registry pushes
  • Deployment automation with GitHub Actions

Monitoring & Observability

• Metrics Collection

  • Prometheus integration for metrics
  • Custom healthcare-specific metrics
  • Performance and security monitoring

• Visualization

  • Real-time Grafana dashboards
  • System health monitoring
  • Authentication tracking

🛠️ Technology Stack

• Backend: FastAPI, Python 3.11
• Authentication: JWT, OAuth2
• Containerization: Docker, Docker Compose
• CI/CD: GitHub Actions
• Monitoring: Prometheus, Grafana
• Cloud: AWS EC2
• Frontend: React (Dashboard)

📊 Project Status

Completed Features ✅

• JWT Authentication implementation
• Docker containerization with multi-stage builds
• CI/CD pipeline with GitHub Actions
• Basic API endpoints for healthcare data
• AWS EC2 deployment setup
• Prometheus metrics integration
• Initial Grafana dashboard configuration

In Progress 🔄

• Enhanced Grafana dashboards
• Real-time monitoring improvements
• Advanced security implementations
• Comprehensive testing suite

Upcoming Features 🎯

• Infrastructure as Code with Terraform
• Kubernetes deployment
• HashiCorp Vault integration
• Advanced HIPAA compliance features
• ELK Stack for logging

🚀 Getting Started

Prerequisites

• Python 3.11+
• Docker and Docker Compose
• AWS CLI (for deployment)

Local Development

# Clone the repository
git clone https://github.com/paulcyi/secure-healthcare-data-pipeline.git

# Install dependencies
pip install -r requirements.txt

# Run with Docker Compose
docker-compose up -d

# Access the API documentation
open http://localhost:8000/docs

Monitoring Setup

# Access Grafana
open http://localhost:3000

# Default credentials
Username: admin
Password: admin

🔒 Security

This project implements multiple security layers:

1. Authentication

   • JWT token-based authentication
   • Secure password hashing
   • Token expiration and refresh

2. Authorization

   • Role-based access control
   • Protected API endpoints
   • Audit logging

3. Infrastructure

   • Secure Docker configuration
   • AWS security groups
   • HTTPS/SSL implementation

📖 Documentation

• API Documentation
• Deployment Guide
• Security Overview
• Monitoring Setup

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📬 Contact

Paul Yi - LinkedIn - GitHub

Project Link: https://github.com/paulcyi/secure-healthcare-data-pipeline

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This project is part of a DevOps portfolio demonstrating enterprise-level implementation of modern development practices.