Raga Navya Mokkapati
Summary
DevOps engineer with 4 years of experience optimizing development processes through automation and infrastructure as code. Proficient in Java, Python, Shell, PowerShell, SQL, and managing MySQL, SQL Server, and PostgreSQL databases. Skilled in AWS and Azure cloud platforms, CI/CD pipelines (Jenkins, Code Pipeline, GitLab), and monitoring tools (Grafana, Istio, Prometheus, ELK, Datadog). Experienced in server management (SonarQube, Trivy, Maven, Nginx, Tomcat, Ansible) and collaboration tools (Jira, Confluence, ServiceNow, Git/GitHub). Expertise in containerization (Docker, Kubernetes), infrastructure as code (Cloud Formation, ARM, Terraform), and version control (Git/GitHub, GitLab). Proficient in Agile, Scrum & Waterfall methodologies, with adaptable skills across Linux/Unix, Windows, and macOS. Strong communication skills, able to effectively collaborate with cross-functional teams and adapt to evolving project requirements.
Overview
5
5
years of professional experience
1
1
Certification
Work History
DevOps Engineer
Dell Technologies
USA, Apr 2023 – Present
04.2023 - Current
- Designed CI/CD pipelines using GitLab CI/CD and Azure DevOps to automate software delivery from code commit to production deployment, resulting in 25% reduction in release cycle time
- Implemented and customized Confluence as a central knowledge base and collaboration platform for documentation, runbooks, and project management, facilitating information sharing and team collaboration pumped the efficiency by 35%
- Integrated ServiceNow with existing IT infrastructure to automate incident, problem, and change management processes, reducing manual intervention and improving response times, reduced incident management by 30%
- Engineered and managed Python scripts automating infrastructure provisioning, configuration, and deployment, slashing manual workload by 25%; optimized Grafana dashboards to visualize and analyze system performance, latencies, and error rates, troubleshooting and performance enhancements
- Oversaw containerized workloads using Azure Kubernetes Service (AKS) and Docker, optimizing resource utilization by 16%
- Integrated and enhanced monitoring and logging solutions using Prometheus, Grafana, and Splunk for real-time visibility by 15% into system performance.
DevOps Engineer
CueTech Systems
India, Jan 2019 – Dec 2021
01.2019 - 12.2021
- Orchestrated the Jenkins pipeline CI/CD to automate code integration and deployment, achieving a 25% faster time-to-market and increasing overall system reliability by 20%
- Constructed Docker files for Docker images to enhance application deployment, resulting in a 20% reduction in server downtime
- Architected automated pipeline with Jenkins, developing intricate shell scripts to evaluate and ensure proper pipeline conditions; optimized workflow efficiency, resulting in a 30% reduction in intervention and a 20% increase in deployment speed
- Created the integration of SonarQube code quality tool across all development teams, leading to a remarkable 40% decrease in bugs identified during the testing phases, drastically enhancing overall product quality and customer satisfaction levels
- Executed automation initiatives for windows and Linux OS using shell scripting; automated system maintenance tasks, saving 15 hours weekly and improving operational efficiency by 25%
- Orchestrated Docker container deployment and scaling through Kubernetes with EKS, optimizing resource allocation and reducing infrastructure costs by 25% through efficient workload management, built robust infrastructure using Terraform on AWS, achieving a 25% decrease in latency and improving user experience
- Generated GitHub webhooks to trigger Jenkins jobs automatically, optimizing development workflows and decreasing release cycle times by 20% resulting in faster time to the market
- Prepared version control best practices in GIT, resulting in reduction in code review time and increase in overall team productivity
- Orchestrated cross-functional RCA sessions to dissect pod deployment issues
- Leading to the implementation of monitoring tools; decreased system failure by 30% and reduced overall system ability
- Adoption of Agile methodologies, leading daily stand-ups, sprint planning, and retrospective meetings to enhance team collaboration and productivity by 60%
Education
Masters of Science in Computer Science -
Texas Tech University
12.2023
Bachelor of Technology in Computer Science -
Narasaraopeta Engineering College
05.2021
Skills
- Languages: Java, Python, Shell, PowerShell, SQL
- MySQL
- SQL Server
- PostgreSQL
- AWS
- Azure
- Jenkins
- Code Pipeline
- GitLab
- Grafana
- Istio
- Prometheus
- ELK
- Datadog
- SonarQube
- Trivy
- Maven
- Nginx
- Tomcat
- Ansible
- Jira
- Confluence
- ServiceNow
- Git/GitHub
- Docker
- Kubernetes
- Cloud Formation
- ARM
- Terraform
- Agile
- Scrum
- Waterfall
- Linux/Unix
- Windows
- MacOS
Certification
- Certified Azure Developer
- Certified AWS Developer
Timeline
DevOps Engineer
Dell Technologies
04.2023 - Current
DevOps Engineer
CueTech Systems
01.2019 - 12.2021
Masters of Science in Computer Science -
Texas Tech University
Bachelor of Technology in Computer Science -
Narasaraopeta Engineering College
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