DevOps Skills
I leverage robust tools and practices to create efficient, scalable, and resilient infrastructure:
Cloud Architecture: Designing and managing AWS-based solutions (ECS, EC2, Lambda, IAM, API Gateway, S3, SNS, SQS, VPC, Elasticache, DynamoDB ...) to enhance performance and scalability.
Infrastructure as Code (IaC): Using Terraform and CloudFormation to automate consistent infrastructure setup.
CI/CD Pipelines: Streamlining deployments with Jenkins, GitLab CI, and GitHub Actions for faster and more reliable releases.
Containerization & Orchestration: Using Docker and Kubernetes to manage scalable and reliable services.
Monitoring & Optimization: Real-time performance insights and issue resolution with Datadog, Sentry, and the Elasticsearch Stack (Elasticsearch, Logstash, Kibana) for in-depth monitoring and log analysis.
Backend Engineering
I build and maintain scalable, high-performance backend systems with expertise in:
Microservices Architecture: Designing and managing microservices using DDD and hexagonal patterns for modular and scalable systems.
API Development: Creating secure, efficient RESTful APIs with AWS API Gateway for robust integration.
Database Management: Optimizing MongoDB, PostgreSQL, Redis, DynamoDB, MySQL, and AWS ElastiCache for reliable, scalable data storage and high-performance applications.
Backend Frameworks: Developing maintainable, high-quality code in Node.js and TypeScript, leveraging frameworks like Express and Nest with dependency injection to enhance modularity and meet performance standards..
Scalability & Performance: Enhancing system reliability and user experience by optimizing high-traffic systems.
Testing & Quality Assurance: Ensuring code reliability and robustness through comprehensive testing practices, using tools like Sinon, Mocha, Chai, and Jest to conduct unit, integration, and end-to-end tests.