Enterprise Java Excellence

As a Java developer, I specialize in building robust, scalable enterprise applications using Spring Boot and the Spring Framework ecosystem. My expertise spans from developing RESTful APIs to implementing real-time communication with WebSocket, always focusing on clean architecture, maintainability, and performance.

I have extensive experience with the entire Java ecosystem, including Maven and Gradle for build automation, JUnit and Mockito for testing, and modern Java features for writing efficient, type-safe code. Whether it's building microservices, implementing security features, or optimizing application performance, I deliver production-ready solutions.

Java Expertise

Core Java & Frameworks

  • Java 8+ (Streams, Lambdas, Optional)
  • Spring Boot & Spring Framework
  • Spring MVC & Spring WebFlux
  • Spring Data JPA & Hibernate
  • Spring Security
  • Spring Cloud (Microservices)

APIs & Communication

  • RESTful API Design & Development
  • WebSocket & STOMP Protocol
  • GraphQL (Basic)
  • API Documentation (Swagger/OpenAPI)
  • Message Queues (RabbitMQ, Kafka)
  • gRPC & Protocol Buffers

Database & Persistence

  • JPA & Hibernate ORM
  • Spring Data JPA
  • SQL & Database Design
  • PostgreSQL, MySQL, H2
  • Database Migrations (Flyway, Liquibase)
  • Transaction Management

Testing & Quality

  • JUnit 5 & TestNG
  • Mockito & MockMvc
  • Integration Testing
  • Test Containers
  • Code Coverage (JaCoCo)
  • Static Analysis (SonarQube)

Build & DevOps

  • Maven & Gradle
  • Docker & Containerization
  • CI/CD Pipelines
  • Kubernetes Deployment
  • Application Monitoring
  • Logging (SLF4J, Logback)

Architecture & Design

  • Microservices Architecture
  • Clean Architecture & SOLID Principles
  • Design Patterns
  • Domain-Driven Design (DDD)
  • Event-Driven Architecture
  • API Gateway Patterns

Java Projects

Spring Boot WebSocket Application

Spring Boot WebSocket STOMP Angular

Real-time chat application demonstrating WebSocket integration with Spring Boot backend:

  • WebSocket server with STOMP protocol implementation
  • Real-time bidirectional communication
  • Message broker configuration (SockJS fallback)
  • Spring Security integration for authentication
  • RESTful API endpoints for user management
  • Angular frontend for seamless user experience
  • Comprehensive unit and integration tests
View on GitHub โ†’

Enterprise REST API

Spring Boot REST API JPA PostgreSQL

Production-ready RESTful API built with Spring Boot best practices:

  • Clean architecture with layered design
  • Spring Data JPA for database operations
  • Custom exception handling and validation
  • API versioning and documentation (Swagger)
  • JWT-based authentication and authorization
  • Comprehensive error responses
  • Performance optimization and caching

Microservices Architecture

Spring Cloud Microservices Docker Kubernetes

Scalable microservices architecture using Spring Cloud:

  • Service discovery with Eureka
  • API Gateway with Spring Cloud Gateway
  • Distributed configuration management
  • Circuit breaker pattern (Resilience4j)
  • Distributed tracing and monitoring
  • Containerized deployment with Docker
  • Kubernetes orchestration

Spring Security Implementation

Spring Security JWT OAuth2 Authentication

Comprehensive security implementation for enterprise applications:

  • JWT token-based authentication
  • OAuth2 and OpenID Connect integration
  • Role-based access control (RBAC)
  • Method-level security annotations
  • CSRF protection and CORS configuration
  • Password encryption and validation
  • Security audit logging

Event-Driven System

Spring Boot Kafka Event Sourcing CQRS

Event-driven architecture with Apache Kafka:

  • Kafka producer and consumer implementation
  • Event sourcing pattern
  • CQRS (Command Query Responsibility Segregation)
  • Message serialization and deserialization
  • Error handling and retry mechanisms
  • Event schema management
  • Monitoring and metrics

Batch Processing System

Spring Batch Scheduling Data Processing

Large-scale data processing with Spring Batch:

  • Chunk-oriented processing
  • Job scheduling and orchestration
  • Parallel and partitioned processing
  • Error handling and restart capabilities
  • Job monitoring and reporting
  • Integration with various data sources

Java Development Philosophy

๐Ÿ—๏ธ Clean Architecture

Following SOLID principles and clean code practices to create maintainable, testable, and extensible Java applications.

๐Ÿงช Test-Driven Development

Writing comprehensive unit, integration, and end-to-end tests to ensure code quality and catch regressions early.

๐Ÿ”’ Security First

Implementing security at every layer, from authentication to authorization, following OWASP guidelines and Spring Security best practices.

๐Ÿ“ˆ Performance Optimization

Optimizing application performance through caching, connection pooling, query optimization, and profiling.

๐Ÿ”„ Continuous Integration

Leveraging CI/CD pipelines with automated testing, code quality checks, and deployment automation.

๐Ÿ“š Documentation

Maintaining comprehensive documentation including API specs, architecture diagrams, and code comments.

Java Ecosystem & Tools

Spring Ecosystem

Leveraging the full power of Spring Boot, Spring Cloud, Spring Security, and Spring Data for enterprise applications.

Build Tools

Expert use of Maven and Gradle for dependency management, build automation, and multi-module projects.

Testing Frameworks

Comprehensive testing with JUnit 5, Mockito, MockMvc, and TestContainers for reliable, maintainable code.

Modern Java

Utilizing modern Java features including streams, lambdas, records, pattern matching, and virtual threads.

Explore More

Check out my other areas of expertise