Bernard M. ElDorrado
***** **** **** ****, *******, Texas 77044
*******.*********@*****.***
Objective: To secure a challenging role in Azure DevOps where I can utilize my skills and experience to drive projects to successful completion.
Summary:
Experienced Azure DevOps engineer with 3+ years of experience in managing DevOps processes for various projects.
Strong experience in managing Continuous Integration and Continuous Deployment (CI/CD) pipelines using Azure DevOps.
Skilled in version control using Git and managing repositories using GitLab and Bitbucket.
Experienced in managing deployments to cloud platforms like Azure and AWS.
Proficient in using automation tools like Ansible, Puppet, and Chef for deployment and configuration management.
Experience with containerization technologies like Docker and Kubernetes.
Excellent communication and team collaboration skills.
Technical Skills:
Azure DevOps
Git
GitLab
Docker
Kubernetes
Professional Experience:
Azure DevOps Engineer Tokio Marine HCC, Houston, TX
Managed multiple CI/CD pipelines for various projects using Azure DevOps.
Developed and implemented release pipelines for multiple environments, ensuring smooth deployment of applications.
Implemented automation using Ansible, Puppet, and Chef for deployment and configuration management.
Utilized containerization technologies like Docker and Kubernetes for managing applications in a cloud environment.
Configured and managed GitLab and Bitbucket repositories for version control.
Worked with development teams to implement Agile methodologies for project management.
Conducted training sessions for team members on DevOps tools and processes.
Collaborated with teams to resolve issues and implement improvements to the DevOps processes.
Education:
DePaul University, Chicago, Il. - Candidate for Master of Science – Data Science
Bachelor in Business Administration, University of Illinois, Champaign, Ill.
Certifications:
Microsoft Certified: Azure DevOps Engineer Expert
AWS Certified DevOps Engineer – Professional
Microsoft Azure Management Tools and Security Solutions
The Data Scientist’s Toolbox
Introduction to Microsoft Azure Cloud Services
Microsoft Azure Services and Lifecycles
Python for Data Science, AI & Development
R Programming
AZ-900: Microsoft Azure
IBM - Data Science Professional
MapR – Hadoop Essentials
NYU - Leadership
References: Available upon request.