Backend & Frameworks

Professional experience with modern backend frameworks, APIs, and server architecture

Backend Frameworks

Flask (Python)

  • Proficiency: Advanced
  • Experience: Multiple production projects
  • Key Features: RESTful APIs, web applications, microservices
  • Projects: Duck API, PyRunner, How About You backend
  • Usage: Lightweight, flexible framework for rapid development

Micronaut (Java)

  • Proficiency: Intermediate-Advanced
  • Focus Areas:
    • Dependency injection and beans
    • HTTP server and REST APIs
    • Data persistence (ORM)
    • Security and authentication (JWT)
    • Scheduled tasks
    • Messaging (Kafka integration)
    • Metrics and observability
  • Projects: Personal Finance Manager (planned)
  • Advantages: Compile-time DI, fast startup, low memory footprint
  • Learning Path: Foundational tutorials → core features → advanced patterns

Django (Python)

  • Proficiency: Intermediate
  • Known Use: Finance app architectural planning
  • Strengths: ORM, authentication, admin panel
  • Use Cases: Full-featured web applications with rapid development

API Development

REST API Design

  • HTTP methods and status codes
  • Request/response formatting
  • Error handling and validation
  • API versioning strategies
  • Documentation (OpenAPI/Swagger)
  • Rate limiting and security

API Documentation

  • OpenAPI/Swagger specification
  • Auto-generated API documentation
  • API client generation
  • Interactive API exploration (Swagger UI)

Authentication & Security

  • JWT (JSON Web Tokens) for stateless auth
  • OAuth2 / OIDC flows
  • API key management
  • Rate limiting
  • CORS handling
  • Input validation

Database Integration

ORMs & Persistence

  • Micronaut Data: Compile-time generated queries
  • SQLAlchemy: Python ORM for Flask applications
  • JDBC: Direct database access
  • Named query patterns
  • Entity relationship mapping

Query Optimization

  • Index strategies
  • Query planning
  • N+1 problem identification
  • Caching strategies (Redis, in-memory)

Messaging & Async

Message Brokers

  • Kafka: Stream processing, high-throughput messaging
  • RabbitMQ: Traditional message queuing
  • Kafka Topics: Pub-sub and partitioning
  • RabbitMQ Exchanges: Routing and fanout patterns

Asynchronous Processing

  • Background job scheduling
  • Event-driven architectures
  • Eventual consistency patterns
  • Task queues

Monitoring & Logging

Observability

  • Prometheus metrics export
  • Health check endpoints
  • Application performance monitoring
  • Structured logging
  • Log aggregation patterns

Metrics Collection

  • Custom metrics
  • Performance tracking
  • System resource monitoring
  • Business metrics

Code Quality

Testing

  • Unit testing (JUnit, pytest)
  • Integration testing
  • API testing
  • Mock/stub patterns
  • Test coverage

Standards & Best Practices

  • SOLID principles
  • Design patterns
  • Clean code practices
  • Code review standards
  • Documentation standards

Languages (Backend)

  • Python: Flask, Django, scripting, data processing
  • Java: Micronaut, modern Java features (17+), Spring (basic)
  • Bash/Shell: Infrastructure scripts, automation
  • SQL: Query writing, schema design, optimization