I am a Senior DevOps Engineer with over 7 years of experience specializing in AWS, Kubernetes (EKS/OpenShift), and GitOps (ArgoCD). Throughout my career, I have developed expertise in multiple programming languages including Python, Java, Ruby, and Bash. One of my key achievements includes developing a multi-repo orchestration engine that reduced manual release windows by more than 5 hours across 44+ repositories.
I have a proven track record of optimizing CI/CD pipelines, halving build times, and architecting GitOps workflows using tools like ArgoCD and Helm on AWS and Kubernetes platforms. My technical skills are complemented by my passion for mentorship, having educated over 100 students in Java and Cybersecurity fundamentals.
In my current role, I engineer custom orchestration engines and optimize infrastructure automation to improve developer efficiency and deployment frequency. I am experienced in automating environment provisioning and ensuring compliance with security standards such as NIST and CIS Benchmarks.
My background also includes developing and maintaining distributed Big Data platforms in secure government environments, automating infrastructure deployments, and refactoring legacy codebases for cloud compatibility. I have worked extensively with infrastructure as code tools like Ansible, Chef, and Puppet across AWS and Azure environments.
I hold a Masterโs Degree in Forensic Science with a focus on Cyber Investigations and a Bachelorโs Degree in Applied Information Technology. Additionally, I am certified as a Scrum Master and hold CompTIA PenTest+ and Security+ certifications. I am committed to continuous learning and applying best practices in DevOps and cloud security to deliver robust, scalable solutions.
Engineered a custom multi-repo orchestration engine using Bash and Ruby to automate versioning and branch synchronization across 40+ repositories, reducing manual release windows by over 5 hours. Optimized GitLab CI/CD pipelines to slash end-to-end build times by 45%, accelerating developer feedback loop and increasing deployment frequency. Architected self-service infrastructure using Ansible and Puppet to automate environment provisioning, eliminating 4-5 hours of manual machine configuration per developer. Orchestrated high-availability Kubernetes workloads using Helm and ArgoCD, implementing GitOps workflows to ensure consistent state across multi-cluster environments. Hardened RHEL-based systems to comply with NIST and CIS Benchmarks, ensuring compliance for artifact integrity within secure, cloud-native and on-prem environments.
Developed and maintained distributed Big Data platforms (Hadoop, Accumulo) within secure government analytics environment, focusing on system performance and data reliability. Automated infrastructure deployments using Ansible and custom Python scripts, reducing environment setup and software update time. Refactored legacy Java codebases to improve compatibility with modern cloud architectures, ensuring seamless migration to containerized environments.
Architected secure AWS-hosted platforms utilizing IAM best practices and Security Groups to ensure least-privilege access and cloud security compliance. Increased codebase test coverage from 35% to 70% by developing comprehensive JUnit test suites during critical code freeze periods, significantly reducing production regressions. Developed Java-based applications and CI/CD pipelines integrating automated testing, streamlining production and improving artifact validation. Implemented Infrastructure as Code (IaC) using Chef and Ansible to automate configuration management across Azure environments.
Developed and optimized software solutions using VB.Net and MS Access, streamlining internal data processing and reporting for regulatory compliance. Engineered database management workflows to improve data integrity and accessibility for cross-functional teams. Identified and integrated new development tools into existing lifecycle to modernize legacy processes and reduce manual intervention. Provided high-level technical support and troubleshooting for complex application issues, ensuring 99.9% availability for critical business tools.
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