data/projects/ecommerce_platform.md

E-Commerce Platform Project

Project Overview

Project Name: Aurora Commerce Platform
Duration: 18 months
Team Size: 12 developers
Status: Production

Technology Stack

• Backend: Python (Django), PostgreSQL, Redis
• Frontend: React, TypeScript, Next.js
• Infrastructure: Docker, Kubernetes, AWS (EKS, RDS, ElastiCache)
• CI/CD: GitHub Actions, ArgoCD
• Monitoring: Prometheus, Grafana, ELK Stack

Architecture

• Microservices architecture with 8 core services
• Event-driven communication using Apache Kafka
• API Gateway with rate limiting and authentication
• CDN for static assets (AWS CloudFront)
• Multi-region deployment for high availability

Key Features Implemented

1. User Management Service

   • JWT-based authentication
   • Role-based access control (RBAC)
   • OAuth integration (Google, Facebook)

2. Product Catalog Service

   • Elasticsearch for product search
   • Image processing pipeline
   • Inventory management with real-time updates

3. Order Processing Service

   • Payment gateway integration (Stripe, PayPal)
   • Order state management
   • Fraud detection using ML models

4. Recommendation Engine

   • Collaborative filtering algorithms
   • Real-time recommendation API
   • A/B testing framework for recommendations

Skills Required for Different Roles

Backend Developer

• Essential: Python, Django, PostgreSQL, REST APIs
• Intermediate: Docker, Redis, Kafka, AWS services
• Advanced: Microservices patterns, Event sourcing, Performance optimization

Frontend Developer

• Essential: React, TypeScript, HTML/CSS, JavaScript
• Intermediate: Next.js, State management (Redux), API integration
• Advanced: Performance optimization, SSR, Micro-frontends

DevOps Engineer

• Essential: Docker, Kubernetes, AWS, CI/CD pipelines
• Intermediate: Infrastructure as Code (Terraform), Monitoring
• Advanced: Service mesh, Security hardening, Cost optimization

Data Engineer

• Essential: Python, SQL, Kafka, Elasticsearch
• Intermediate: ETL pipelines, Data warehousing, Apache Spark
• Advanced: ML pipelines, Real-time analytics, Data governance

Learning Paths Based on Project Needs

New Backend Developer Onboarding (4 weeks)

1. Week 1: Python fundamentals, Django basics, PostgreSQL
2. Week 2: REST API development, Authentication systems
3. Week 3: Microservices concepts, Docker containerization
4. Week 4: AWS services integration, Testing strategies

Frontend Developer Growth (6 weeks)

1. Week 1-2: React advanced patterns, TypeScript mastery
2. Week 3-4: Next.js SSR, Performance optimization
3. Week 5-6: State management, Testing, Deployment

DevOps Transition Path (8 weeks)

1. Week 1-2: Containerization (Docker), Basic Kubernetes
2. Week 3-4: AWS services, Infrastructure as Code
3. Week 5-6: CI/CD pipelines, Monitoring setup
4. Week 7-8: Security, Performance tuning, Incident response

Common Challenges and Solutions

• Scalability: Horizontal scaling with Kubernetes HPA
• Data Consistency: Event sourcing and CQRS patterns
• Performance: Caching strategies, Database optimization
• Security: OAuth 2.0, API rate limiting, Input validation

Current Open Positions

• Senior Backend Developer (Python/Django)
• React Developer (TypeScript focus)
• DevOps Engineer (Kubernetes/AWS)
• Data Engineer (ML/Analytics focus)