Alexandra Baga
Cloud and Devops Engineer @Deloitte
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WORK HISTORY
Cloud and Devops Engineer @Deloitte
Berlin, DE
Over the past years, I have worked as a Cloud and DevOps Engineer with a background in backend development, focusing on improving AWS-based infrastructure for enterprise digital platforms using Terraform and maintaining CI/CD pipelines with GitHub Actions. Supported cloud infrastructure and operations for an enterprise platform in the automotive sales domain users). Executing containerized deployments using Docker, automating processes, and contributing to monitoring, alerting, and operational stability of production workloads in collaboration with development teams.Projects for leading automotive and financial institutions including Volkswagen, Mercedes-Benz, and Deutsche Bundesbank.As a Consultant at Deloitte, I design and implement cloud-based solutions and support platform engineering initiatives. My experience includes roles as Cloud Engineer (AWS), Data Engineer (Azure, Databricks, Python), and Full Stack Developer (Python, Angular, REST APIs).
EDUCATION
Kyiv National Economics University
Bachelor’s Degree, Business Administration
Freie Universität Berlin
Master of Computer Science (MCS), Computer Science
Berlin University of Applied Sciences Berlin (BHT)
Bachelor’s Degree, Computer Engineering
ABOUT ALEXANDRA BAGA
The results-driven IT professional with a B.Eng. and M.Sc, specialising in backend development, REST API design, DevOps, ML and GenAI Solutions and cloud technologies. With 5 years of experience, I have worked on software development, automated testing, and cloud infrastructure.I have hands-on expertise in AWS, Azure, and Linux, holding multiple certifications. I thrive in goal-oriented environments, demonstrate strong teamwork, communication, and a commitment to continuous learning.Python, Angular, JavaScript, React.js, C/C++|PyTest, Jasmine, TTD, CI/CD | SQL (PostgreSQL, MySQL); NoSQL | REST API, Django, FastAPI, HTTP, TCP/IP, jQuery, HTML, CSS, JSON, XML, Jinja Templating | AI, Machine Learning, PyTorch, NumPy
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