Back-End Developer with expertise in the Python language and focus on developing microservices, applying principles of clean architecture and object-oriented design to ensure that my code is maintainable, reusable, and easy to understand. Python is my main tool for building scalable and efficient applications, allowing solutions to adapt to growing user demands, and I also have considerable experience with the Go language. I have extensive experience in relational databases, such as MySQL and PostgreSQL, and knowledge of theory in NoSQL databases, such as MongoDB, in small projects.I have experience in the DevOps area, including the use of Docker containers and management with Kubernetes, in addition to implementing CI/CD pipelines using Jenkins, GitHub Actions, and Bitbucket Pipelines. I also have theoretical knowledge of tools such as Ansible, Terraform, Rancher and Grafana. In my Python projects, I use dependency management tools, such as Pipenv and Poetry, perform unit tests with Pytest and create CLI commands with Typer. Additionally, I produce documentation with MKDocs and manage loggers with Sentry, applying best practices with modules such as Isort, Blue and Prospector.I have experience in Kafka and RabbitMQ messaging tools, in REST, gRPC and GraphQL API protocols, in MVC, Hexagonal, DDD (Domain Driven Design) software architecture models.I completed the AWS Practitioner Essentials course, where I acquired comprehensive knowledge about Cloud Computing, including services such as EC2, RDS, DynamoDB, CloudWatch, Route 53, VPCs, Load Balancing, ECS and EKS.Currently, my focus is on the areas of Back-End, DevOps and Cloud Computing. Although I have already explored the Front-End with HTML, CSS and JavaScript to create websites and blogs, my main interest lies in deepening my knowledge in DevOps and Cloud Computing. I am always looking for new opportunities for learning and professional growth.https://github.com/Igorcand