Leadership & Technical Dossier
Sr. Manager, Deployment Engineering @ Collibra. 25+ years architecting resilient infrastructure, mentoring high-output engineering teams, and translating ambitious technical strategies into reliable production code...all while having fun doing it.
I've spent 25+ years progressing from foundational infrastructure engineering to leading production engineering organizations at enterprise scale. My early work in healthcare IT systems (building resilient, always-on infrastructure) evolved into distributed systems expertise at F5 Networks, where I led services engineering teams scaling global DDoS protection and cloud security services. This progression shaped my deep conviction that infrastructure reliability is a business multiplier; the difference between 99% and 99.99% uptime translates directly to customer trust and revenue impact.
Currently at Collibra, I lead engineering teams ensuring data intelligence software services scale reliably and securely across global deployments. My focus is translating complex reliability challenges into pragmatic solutions: mentoring engineers & managers, scaling early on AI technologies, designing deployment strategies that eliminate human error, and building observability that surfaces problems before customers see them.
I hold a degree from Northeastern State University. Early career, I earned VMware Certified Professional credentials in data center virtualization—a technical foundation that shaped my infrastructure philosophy. More importantly, I've learned that technical excellence without intentional culture-building produces isolated high performers, not high-performing teams. My work now centers on unlocking engineering teams' full potential through psychological safety, clear technical decision-making frameworks, and relentless focus on shipping.
Complexity is debt paid in cognitive load and incident frequency. We default to boring, resilient primitives before adopting distributed overhead.
Shipping iteratively beats theoretical perfection. Great teams move fast because their test harnesses, CI/CD, and rollback paths are rock solid.
Failures are system flaws, not character flaws. Rigorous post-mortems and observable metrics replace speculation and politics.