Seasoned Full Stack Developer | 20+ Years of Experience Specializing in high-performance backend systems using Golang and frontend systems using ReactJS + Redux on AWS cloud-native architectures.

🚀 Key Expertise:

• Golang Backend Development: Proven track record in building scalable microservices with clean architectures, dependency injection, and high concurrency.
• ReactJS + Redux Frontend Development: Expertise in crafting responsive, modular, and maintainable frontend applications.
• Concurrency & Performance Optimization: Skilled in leveraging goroutines, channels, and pprof profiling to build high-performance systems.
• Unit & Integration Testing: Strong advocate for test-driven development (TDD), ensuring robust code quality through detailed unit and integration tests.
• Cloud & DevOps: Proficient in deploying and managing applications on, Kubernetes, AWS (ECR, ECS) using Docker, Docker Compose, and CI/CD pipelines.

🛠️ Technical Skills:

• Languages: Golang, JavaScript (ES6+)
• Databases: PostgreSQL, MySQL
• Frameworks/Libraries: ReactJS, Redux
• Cloud & DevOps: AWS (ECR, ECS), Kubernetes, Docker, Docker Compose, CI/CD (GitHub Actions, BitBucket Pipelines)
• Instrumentation: pprof profiling, Prometheus, Zap, Grafana
• Testing: Unit testing, Integration testing
• Version Control: Git, GitHub workflows, BitBucket

Design Patterns & Architectural Expertise

• Concurrency Pattern:
  • Utilized in service/user_service/user/user_service to execute multiple database queries and gRPC calls concurrently using Go's errgroup.
  • Enhances the performance of the GetAllUserStatistics method by leveraging parallel processing.
• Dependency Injection Pattern:
  • Utilized in lib/container/container.go to manage logging, database connections, and environment variables.
  • Promotes modularity and flexibility by injecting dependencies into a central container.
• Singleton Pattern:
  • Implemented in lib/container/container.go through synchronized lazy initialization (sync.Mutex + instance check) in PostgresAdapter and MySQLAdapter.
  • Ensures only one database connection instance is created per adapter while maintaining thread safety.
• Adapter Pattern:
  • Used in lib/container/container.go to create a unified database interface (Db) with concrete implementations (PostgresAdapter and MySQLAdapter).
  • Enables seamless switching between database providers without modifying client code.
• Factory Pattern:
  • Utilized in lib/container/db.go through the NewDBConnectionAdapter function.
  • Acts as a factory method to create instances of different database adapters based on the specified database type, encapsulating object creation logic.
• External Configuration Pattern:
  • Utilized in lib/container/container.go to manage and validate essential configuration through environment variables.
  • Ensures centralized and type-safe access to settings, promoting flexibility and ease of deployment.
• Decorator Pattern:
  • Utilized in lib/response/response.go to dynamically add behaviors to response handlers.
  • Allows setting headers or handling different response types without altering the underlying handler implementation.
• Middleware Pattern:
  • Utilized in lib/router/router.go to chain multiple handlers that add functionalities like logging, request ID management, and Prometheus metrics collection.
  • Enhances the HTTP request processing pipeline with modular and reusable components.
• Object Pool Pattern:
  • Implemented in lib/container/connection.go to manage a pool of reusable gRPC client connections.
  • Optimizes resource usage and improves performance by reducing the overhead of repeatedly creating and destroying connections.

📚 Featured Post on dev.to:

• Improving Performance with Concurrency in Golang: A Case Study
• The Singleton Pattern in Golang
• Using a Reverse Proxy to Expose Multiple Microservices Through a Single Port in Docker Compose
• How to Deploy a Container from GitHub to AWS ECR and ECS through OIDC
• Understanding Dependency Injection Through a Practical Golang Example
• The Hidden Costs of Inefficient Code: A Case Study

🌟 What I Bring to the Table:

• A deep understanding of scalable system design and cloud-native architectures.
• A passion for writing clean, maintainable, and efficient code.
• A commitment to continuous learning and sharing knowledge through technical articles and community engagement.

🤝 Let's Connect! I'm always open to collaborations, discussions, and new opportunities. Let's build something amazing together!

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