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@mohamedchedhli
DevOps Consultant with expertise in cloud and container technologies.
I am a dedicated DevOps Consultant with a strong analytical mindset and a passion for solving complex challenges. My experience spans various projects, including the deployment and management of Kubernetes clusters and the implementation of microservices architectures. I thrive in collaborative environments and am always eager to learn new technologies.
Throughout my career, I have successfully managed high-availability systems and automated CI/CD pipelines, ensuring seamless application delivery. My certifications in Kubernetes and AWS reflect my commitment to staying at the forefront of cloud-native technologies. I take pride in my ability to communicate effectively with cross-functional teams and drive projects to successful completion.
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Work history, roles, and key accomplishments
Keyrus-MEA
Mar 2022 - Present (3 years 8 months)
As a DevOps Consultant at Keyrus-MEA, I managed the deployment and orchestration of Kubernetes clusters for various applications, including Zain Bahrain and Orange MEA. I implemented CI/CD pipelines, integrated API gateways, and designed distributed storage architectures, ensuring high availability and reliability across multiple projects.
Intiqaal Information Technology
Oct 2022 - Jan 2024 (1 year 3 months)
In my role as a Consultant DevOps, I automated the deployment of Node.js applications on AWS, configured GitLab CI pipelines, and set up high availability database servers for Odoo Web App. My work involved using tools like Ansible and Docker to streamline processes and enhance system reliability.
Orange Digital Center
May 2022 - Aug 2022 (3 months)
Participated in the AWS re/Start Program, a full-time training initiative focused on cloud computing fundamentals. Gained hands-on experience with AWS services, Linux operating systems, and networking, enhancing my technical skills and preparing me for a career in cloud technologies.
Degrees, certifications, and relevant coursework
AWS re/Start Program, Cloud Computing
2022 - 2022
Full-time, classroom-based training and skills development programme covering computing fundamentals, AWS cloud and professional skills.
Professional Master's degree, Network and Telecommunications Systems
2020 - 2022
Degree in Computer Science, Computer Science
2014 - 2018
Software and tools used professionally
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