💻 Backend Engineer | Ruby on Rails | SQL | DevOps
Backend engineer focused on high-performance systems, scalable architectures, and infrastructure automation.
I specialize in building robust APIs, optimizing complex SQL queries, and deploying production systems on Linux and AWS environments. I enjoy improving system performance, automating infrastructure, and designing maintainable backend architectures.
- Ruby
- Ruby on Rails
- PHP
- PostgreSQL
- MySQL
- SQL Server
- Advanced SQL optimization
- Docker
- Linux
- Nginx
- Apache
- AWS
- EKS
- ECS
- RDS
- GitHub Actions
- AWS CodeBuild
- Automated deployment pipelines
- Sidekiq
- Redis
- Distributed job processing
A laboratory focused on Rails and SQL performance optimization.
Includes practical examples of:
- N+1 query problems
- Proper database indexing strategies
EXPLAIN ANALYZE- Materialized views
- Join optimization
- Query refactoring for high performance
A web interface to monitor Sidekiq batch processing in real time.
Features:
- Batch monitoring
- Execution progress tracking
- Failed job visualization
- Processing statistics
- Operational insights for background jobs
Automation scripts designed to reduce AWS infrastructure costs.
Features:
- Automatic start/stop for RDS instances
- ECS service resizing
- Scheduled scaling using EventBridge
- Infrastructure cost optimization
A production-ready template to deploy Rails applications using Docker.
Includes:
- Optimized Dockerfile
- Docker Compose setup
- Nginx configuration
- Sidekiq workers
- PostgreSQL integration
- Production environment best practices
Automation scripts for rapid provisioning of production-ready Linux servers.
Automatically configures:
- Docker
- Nginx
- SSL certificates
- Fail2ban
- Firewall
- Basic security hardening
- Database performance optimization
- Backend architecture
- Distributed systems
- DevOps and infrastructure automation
- Cloud infrastructure
- High-performance backend services
⭐ If you find my projects useful, feel free to star them and follow my work.