I possess significant experience in developing enterprise-level desktop applications (using C# and .NET) to automate documentation workflows for the construction company Azfen. This project involved building a solution on a self-hosted infrastructure, utilizing Microsoft SQL Server. Furthermore, I had the opportunity to contribute to an intriguing web project as a Golang back-end developer and DevOps Engineer. This experience enhanced my understanding of discipline and effective teamwork.Since 2019 my background includes experience in implementing CI/CD pipelines using Docker Compose. Later, my focus was shifted towards Cloud Engineering tools, notably Kubernetes. I devoted considerable time to working with cloud providers such as Amazon Web Services, aiming to gain deeper insights into creating cloud infrastructure to facilitate CI/CD integration for Software Development.In recent times, I have extensively engaged with various technologies, demonstrating a strong ability to learn quickly and apply new knowledge in practical settings. I consistently strive to resolve challenges independently.A complete list of technologies that I have had some experience with (since 2018 till today): MVVM, MVC, C#, .NET Framework, ADO.NET, ASP.NET, XAMP (WPF), Microsoft SQL Server, PostgreSQL, MySQL, Golang, Java Core, Spring Framework, Nginx Web Server, Nginx LB, Docker, Kubernetes, Terraform, Istio, Envoy, Git CLI, GitLab, GitHub Actions, Gitea, AWS EKS, AWS CodeBuild, Digital Ocean, Linode, PHP, Laravel Framework.My preferences and hobbies.Favorite operating system: GNU Linux (Fedora).Favorite work environment: libvirt Virtual Machine Manager virtual machines.Favorite technology: Docker, Kubernetes.Working principles: discipline, accuracy, information hygiene.Favorite natural language for work: EnglishInterests and hobbies: Collecting high-quality music, FreeCAD modeling.Interests and hobbies in the past: fitness and bodybuilding (academic level), working with digital sound, digitizing and cleaning old recordings on audio cassettes.Favorite music genre: Berlin School Electronic, Ambient, Progressive.Most productive time of day: 5:00 AM - 01:00 PM