Lucky Ozegbe

Lucky Ozegbe

DevOps Engineer

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location of Lucky OzegbeShakopee, Minnesota, United States

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  • Timeline

  • About me

    DevOps Engineer at Goldman Sachs Global

  • Education

    • Rivers State University of Science and Technology

      2010 - 2015
      Bachelor of Technology - BTech Chemical/pPetrochemical engineering
    • Prairie View A&M University

      2023 - 2024
      Master of Science - MS COMPUTER AND INFORMATION SCIENCES AND SUPPORT SERVICES 4.0
  • Experience

    • YNR Infotech

      Feb 2017 - Jun 2020
      DevOps Engineer

      Managed AWS infrastructure (EC2, S3, Lambda, DynamoDB, Redshift), enhancing scalability and reducing costs. Led the development of CI/CD pipelines using Jenkins, GitHub Actions, and AWS CodePipeline, accelerating deployments by 50%. Implemented container orchestration with Docker, Kubernetes, and OpenShift, ensuring 99.9% uptime for production services. Automated infrastructure provisioning with Terraform and Ansible, cutting deployment time by 60% and minimizing manual errors. Optimized version control with Git and GitHub, enhancing collaboration and code consistency across teams. Integrated Prometheus, Grafana, and the ELK stack for proactive monitoring, reducing incident response times by 30%. Designed and optimized AWS Glue-based ETL pipelines, tripling data processing speed. Managed cross-functional projects using Jira and Confluence, boosting team productivity by 25%. Configured Cisco and Palo Alto firewalls, reducing vulnerabilities by 40% and strengthening network security. Implemented cost optimization strategies on AWS, reducing monthly spend by 15% through resource right-sizing. Show less

    • Coforge

      Jul 2020 - Nov 2022
      DevOps Engineer

      Managed Azure cloud infrastructure (Data Lake, Data Factory, Virtual Machines), optimizing data storage and processing capabilities. Automated infrastructure management with Terraform and Ansible, ensuring consistent deployments and minimizing configuration drift. Designed efficient ETL workflows using Azure Factory, increasing data pipeline throughput by 50%. Streamlined build and release processes with Maven, Gradle, and JFrog Artifactory, achieving 30% faster delivery. Integrated Prometheus, Grafana, and ELK stack for real-time monitoring and log management, reducing performance issues by 20%. Facilitated collaboration through Jira, Confluence, and Teams, boosting team efficiency and engagement. Strengthened network security with Palo Alto and Cisco tools, ensuring robust protection against threats. Conducted cost optimization strategies, reducing Azure costs by 18% annually. Show less

    • Goldman Sachs Global

      Aug 2024 - now
      DevOps Cloud Engineer

      Architected scalable AWS-based cloud-native applications (EC2, Lambda, DynamoDB), enhancing application performance by 30%. Led CI/CD pipeline deployments with GitHub Actions, GitLab CI/CD, and AWS CodePipeline, reducing deployment time by 50%. Orchestrated containerized workloads using Docker, Kubernetes, and Amazon EKS, ensuring 100% uptime and optimal resource usage. Automated infrastructure provisioning with Terraform, Ansible, and Puppet, reducing configuration errors and improving deployment speed by 40%. Designed and optimized data pipelines with AWS Kinesis, Glue, and Redshift, boosting data processing efficiency by 60%. Established monitoring solutions with Prometheus, Grafana, and the ELK stack, resulting in a 20% reduction in system downtime. Integrated BI tools like Tableau and Power BI, improving data accessibility and decision-making. Strengthened network security with AWS-native solutions (IAM, GuardDuty, VPC), reducing infrastructure risks by 35%. Led cross-functional collaboration via Jira, Confluence, and Slack, improving project delivery speed and operational efficiency by 25%. Implemented cost management strategies with AWS Cost Explorer, optimizing resource allocation and reducing expenses by 20%. Show less

  • Licenses & Certifications