Utkarsh Gupta
@utkarshgupta
Experienced cloud engineer with DevOps expertise
What I'm looking for
I am a highly motivated and experienced cloud engineer with a strong background in DevOps, having worked with various cloud services such as Azure, AWS, and GCP. My expertise includes designing and implementing CI/CD pipelines, automating deployments, and managing Kubernetes clusters. I have a proven track record of reducing deployment time, errors, and infrastructure costs, while improving script execution efficiency and collaboration.
Throughout my career, I have worked with various technologies, including Azure DevOps, AWS CodePipeline, Docker, Kubernetes, GitHub Actions, Jenkins, Terraform, Ansible, ELK, Grafana, and Prometheus. I have also worked with programming languages such as Python, SQL, and Shell Script. My experience with Agile and Gen AI has enabled me to work efficiently in fast-paced environments.
I am a certified Azure professional, holding certifications such as Azure Fundamental (AZ-900), Azure Data Engineer Associate (DP-203), Microsoft Certified: DevOps Engineer Expert (AZ-400), and Azure Administrator Associate (AZ-104). I am committed to staying up-to-date with the latest technologies and trends in the industry, and I am excited to bring my skills and experience to a new role.
Experience
Work history, roles, and key accomplishments
Digital Tech
NTT Data
Jul 2022 - Present (3 years 11 months)
Developed Azure DevOps CI/CD pipelines, managed Kubernetes clusters, and deployed Azure infrastructure using Terraform
Assistant Sys
TCS
Feb 2020 - Jul 2022 (2 years 5 months)
Worked in Scientific data and storage team, developed Azure PowerShell scripts, and built CI/CD pipelines in Azure DevOps
Education
Degrees, certifications, and relevant coursework
SRMCEM
Bachelor's in Technology, Technology
2016 - 2020
Grade: CGPA- 9
Completed a Bachelor's in Technology with a focus on various technical skills and cloud technologies. Achieved a CGPA of 9. Developed a strong foundation in software development and cloud computing.
Availability
Location
Authorized to work in
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