I'm a primary contributor to infrastructure on Uber's Atlassian Work Management team (a team of 12, some admins and some infrastructure), driving the modernization, security, and scaling of the team's Jira and Confluence platforms. I drove critical infrastructure improvements, including server OS upgrades, performance optimization, and AWS disaster recovery planning. I significantly strengthened system governance by completing over 4,800 access reviews, building automated data redaction pipelines, and leading large-scale cleanup initiatives for hundreds of inactive projects. I enhanced overall productivity and platform reliability by automating license management, and improving system monitoring.

• Infrastructure Modernization: Led OS migrations to Debian 12 across the team's Jira and Confluence infrastructure, and deployed NVMe RAID storage to improve API performance.
• Access Governance: Enforced least-privilege access by administering and triaging 4,800+ user access reviews and automating AD service-account secret rotations.
• Attack Surface Reduction: Remediated critical CVEs and archived 600+ inactive projects to reduce the platform's exposure.
• Integration & License Automation: Designed and deployed multiple integrations on Atlassian platform and built automated license-reaper tooling to reclaim unused seats.
• Platform Migration: Architected and tested the multi-phase migration of EngWiki into TeamDot using custom-built tooling, alongside ongoing upgrades of core Atlassian components and plugins (ScriptRunner, Zephyr Scale and other custom integrations).
• Observability & Reliability: Integrated Dynatrace observability for process-level and log metrics ingestion, ran comparative analysis to Elasticsearch APM, resolved data-quality defects, and performed full infrastructure re-indexing to maintain platform stability.
• Mentorship: Provided ongoing mentoring to junior staff on the design, troubleshooting, and implementation of complex infrastructure and automation solutions.

Progressing rapidly from Senior Technical Consultant to Principal DevOps Consultant at Adaptavist, I drove enterprise-wide DevOps transformations and architected scalable cloud solutions for a diverse client portfolio. I guided organizations along their DevOps maturity journeys by specializing in SDLC optimization, CI/CD pipeline automation, and complex infrastructure migrations from on-premises environments to AWS. By combining hands-on technical execution—including custom Java/Groovy development, containerization, and Atlassian toolchain modernization—with strategic consulting, I established robust architectural baselines and championed continuous improvement across the enterprise

• DevOps Coaching: Spearheaded DevOps maturity coaching and transformation initiatives across enterprise clients.
• Thought Leadership: Authored DevOps maturity guides and drove knowledge sharing through internal seminars, public webinars, panel discussions, and technical whitepapers.
• Cloud Architecture & Migrations: Architected and executed AWS cloud migrations, including the transition of legacy on-premises applications to AWS ECS containers, and implemented AWS Well-Architected solutions using ECS and EKS.
• CI/CD Automation: Designed and optimized CI/CD pipelines using Jenkins (JTE) and GitLab, and established baseline Docker image architectures.
• Atlassian Solutions & Custom Development: Led client migrations to modern Atlassian software versions, engineered custom solutions using Java and Groovy, optimized Jira Service Desk automation, and delivered comprehensive training for Jira and Confluence.

Serving as a Senior DevOps Consultant within the DevOps Center of Excellence (COE), I drove enterprise-wide CI/CD best practices and provided critical Tier 3 support for internal RBC teams utilizing UrbanCode Deploy, Jenkins, and GitHub Enterprise. Prior to this role, as a Big Data Platform Engineer within the Data and Analytics group, I owned the lifecycle and ongoing management of Hortonworks (HDP) Hadoop platforms and engineered modern observability pipelines. Across both roles, I established robust configuration management architectures using Ansible and played a key role in the Enterprise Atlassian practitioners group, scaling Jira and Confluence from team-level administration to enterprise-wide onboarding and automation strategies.

• Enterprise DevOps & Tier 3 Support (COE): Provided critical Level 3 support for internal RBC teams across core CI/CD and DevOps toolchains, ensuring high availability for Jenkins, UrbanCode Deploy, and GitHub Enterprise.
• Big Data Platform Management: Used Ansible to remotely manage, configure, and maintain a fleet of Hortonworks Data Platform (HDP) Hadoop clusters and associated support tooling.
• Atlassian Scaling & Automation: Progressed from administering Atlassian platforms for the Data & Analytics group to establishing enterprise-wide Jira and Confluence onboarding and shaping platform strategy as part of the Enterprise DevOps COE.
• Observability & Metrics Architecture: Enhanced application and system visibility by introducing Sensu for active monitoring, alongside Telegraf and InfluxDB for metrics aggregation across big data environments.

Over a nine-year tenure at LoyaltyOne, I progressed from Senior Java Developer to Technical Consultant, establishing myself as the cross-functional Subject Matter Expert for enterprise SDLC toolchains, complex system troubleshooting, and performance tuning. Originating as a CI tools administrator where I drastically optimized deployment architectures—reducing critical deployment times from two hours to thirty minutes—I scaled my impact to engineer software configuration management across 1,300 Linux servers. A defining achievement of this tenure was my strategic overhaul of the enterprise observability stack; by retiring legacy commercial monitoring platforms in favor of robust open-source alternatives, I generated approximately $1 million in annual cost savings before spearheading a modern cloud migration strategy to Datadog.

• Observability Strategy & Cost Optimization: Saved approximately $1 million annually by replacing legacy commercial monitoring systems with open-source equivalents, and initiated the enterprise migration to Datadog.
• Configuration Management at Scale: Administered and modernized software configuration management for 1,300 Linux servers using Puppet and Docker, then led the architectural conversion from Puppet to Ansible.
• CI/CD Pipeline Engineering: Designed and maintained automated build, deployment, and inspection pipelines using Bamboo, UrbanCode Deploy, Apache Ant, and Maven, integrating quality and security scanning via Sonar and Veracode.
• Performance Engineering: Accelerated automated deployment scripts from two hours to 30 minutes and standardized deployment structures from dev to production.

Assist with movie projection and other IT operations. Upgraded internal network and several computers. Provide on-going technical support.

Assist with technical issues, driver for wildlife rescues.