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Secure Healthcare Data Pipeline

Build Status Docker Pulls Python 3.11 FastAPI License

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

🤝 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

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