I am a DevOps engineer with a multidisciplinary background that combines software development, data management, business analytics, and cloud infrastructure.
My career started with self-directed learning in C programming, followed by online training in Python, C++, and SQL, which led me into my first software developer role as an analyst developer.
I have worked across data warehousing, BI, ETL, mobile development with Flutter, and later moved into DevOps, where I found my strongest fit in software architecture, automation, and project coordination.
I am experienced with Azure and AWS environments, containerization, CI/CD pipelines, observability tooling, database migration, and infrastructure administration. I also enjoy using AI responsibly to improve development workflows, debugging, modernization, and code quality.
I value analytical thinking, research, and clean engineering practices. I am especially interested in bash scripting, Docker, Kubernetes, and building reliable systems that support teams and products at scale.
Alongside engineering, I have experience in teaching, documentation, compliance-related reporting, and team support. I am open-minded, fast to adapt, and motivated by solving complex technical problems in a structured and practical way.