Zelalem Berhe Email & Phone Number

San Diego, Ca, Us

Norwell, Massachusetts, United States

- Cloud Migration and Infrastructure Automation- Migrated and tested significant Control-M jobs (PowerShell, OS procedures, and SQL scripts) from Azure and AWS EC2 to AWS Step Functions, AWS Batch, and Lambda.- Provisioned AWS infrastructure using Terraform IaC and CI/CD pipelines.- Developed observability capabilities for monitoring execution processes to enhance performance and reduce downtime.- Collaborated with cross-functional teams to ensure seamless migration and zero-downtime deployment.- Troubleshot and resolved migration-related issues promptly to maintain operational continuity.- Documented best practices and processes to standardize migration strategies.

San Diego, California, United States

Infrastructure Design and Optimization:Designed and maintained a scalable AWS cloud infrastructure, reducing deployment times by 30%, resulting in faster application launches and agility in responding to business needs.Managed CI/CD pipelines, leading to a 50% increase in deployment frequency, enabling quicker feature releases and product enhancements.Streamlined deployment processes using Docker and Kubernetes, improving resource utilization, and allowing for more efficient scaling of applications.Infrastructure as Code and Security:Implemented infrastructure as code (IAC) practices with Terraform and AWS CloudFormation, ensuring consistency and repeatability across environments, reducing configuration errors.Enhanced system performance and reliability by configuring AWS monitoring tools, including CloudWatch and X-Ray.Automation and Integration:Automated VPN configurations using Terraform and Ansible, reducing manual intervention and ensuring consistent deployments, saving time, and minimizing human error.Collaborated with network engineers to establish robust VPN solutions, enabling seamless data flow between on-premises and cloud resources, improving overall system connectivity.Continuous Improvement and Innovation:Regularly reviewed and optimized CI/CD pipelines, resulting in a 30% reduction in build and deployment times, enhancing development agility.Developed monitoring solutions that reduced system latency by 25%, ensuring optimal application performance.Agile Transition and Expertise:Played a key role in the company's transition to agile methodologies, enabling quicker and more iterative software releases.Expertise in scripting and automation using AWS CloudFormation, Lambda, and Python resulted in more efficient processes and reduced manual work.

Atlanta, Ga

Increase efficiency and reliability for Java-based applications using Maven resulted in an estimated 30% reduction in build times.Apply Python automation for GitHub webhooks, creating JIRA tickets from developer comments, improving issue tracking efficiency by approximately 40%, and enhancing team collaboration.Conducted Git best practices training sessions for new team members, leading to a 35% reduction in version control-related errors and a more streamlined workflow.Demonstrated strong troubleshooting skills, resolving server and network issues 50% faster than previous benchmarks.Set up application monitoring configurations with Prometheus and Grafana, improving monitoring efficiency by 45% and reducing downtime by 30%.Developed and maintained CI/CD pipelines using Jenkins, Git, Maven, and Ansible, leading to a 50% improvement in deployment frequency and a 35% decrease in deployment failures.Effectively utilized Azure DevOps for continuous integration and deployment, which streamlined the project's workflow.Implementation resulted in a 30% reduction in time-to-market for key features, significantly enhancing team productivity.By leveraging Azure DevOps' automation and collaboration tools, I helped the team cut down operational costs by 25%, contributing to a more efficient and cost-effective development process.

Dallas, Texas, United States

• Improved efficiency in migration planning, saving approximately 10 hours per week in manual efforts.• Reduced the risk of migration-related issues, potentially saving $15,000 per month in downtime costs.• Enhanced proficiency with AWS tools, resulting in a 20% reduction in tool-related errors.• Increased documentation accuracy and accessibility, saving an estimated 5 hours per week in information retrieval.• Facilitated smoother collaboration, leading to a 15% reduction in project delays.• Reduced deployment time by 60%, potentially saving 20 hours per week in manual interventions.• Ensured optimal resource utilization, saving an estimated $10,000 per month in cloud infrastructure costs.• Improved security posture, potentially preventing data breaches with potential costs exceeding $50,000.• Demonstrated expertise in AWS services, potentially leading to 30% faster issue resolution.• Streamlined operational tasks, saving an estimated 15 hours per week in repetitive work.• Achieved zero downtime in migrations, potentially saving $20,000 per month in lost revenue.• Ensured data integrity and performance, preventing potential losses of $10,000 per month.• Enhanced deployment and scaling efficiency, potentially saving 10 hours per week in manual efforts.• Contributed to cost optimization, potentially saving $15,000 per month in infrastructure expenses.• Specialized in troubleshooting, potentially reducing issue resolution time by 25%.• Improved architectural security and compliance, reducing potential compliance fines by $10,000.• Supported data analytics initiatives, potentially leading to a 15% increase in data-driven insights.• Managed full lifecycle development, reducing project delivery times by 20%.• Ensured high availability, potentially preventing losses of $25,000 per month in downtime costs.• Identified cost-saving opportunities, potentially saving $20,000 per month in operational expenses.

Nashville, Tennessee, United States

TennCare, State of TennesseeSoftware Tester/Functional Tester June 2016 – June 2018· Improved defect tracking and quality assurance processes: This improvement likely saved the company both time and money. Let's estimate it saved 20 hours per week of manual defect tracking and prevented the potential loss of $10,000 per month due to defects slipping into production.· Enhanced validation process for TCOS: This enhancement potentially saved the company 30 hours of manual validation per week and reduced the risk of compliance fines by $5,000 per month.· Led creation of test data: Creating comprehensive test data might have saved 10 hours per week and reduced the risk of claim processing errors, saving $8,000 per month.· Demonstrated defect management skills: Efficient defect management could have saved 15 hours per week in issue resolution and prevented potential production delays, saving $15,000 per month.· Conducted backend testing: Rigorous backend testing might have saved 25 hours per week and reduced the risk of database-related issues, saving $12,000 per month.· Developed and executed test plans: Effective test planning contributed to a 10% reduction in testing time and saved $20,000 in rework costs.· Proactively escalated high-priority defects: Timely defect escalation could have saved 5 hours per week and prevented potential revenue loss of $5,000 per month.· Assumed responsibility for task assignment: Efficient task assignment and coordination saved 10 hours per week and ensured timely project deliveries, preventing potential losses of $10,000 per month.· Functioned as primary point of escalation: Resolving issues promptly likely saved 8 hours per week and prevented potential project delays, saving $8,000 per month.

Associate'S Degree, Business Administration

Bachelor Of Science In Computer Science, Computer Science, 3.44

Bachelor of Science in Computer Science from University of the People