• Managing Director of 30+ engineers and managers for Teradata's SaaS public cloud and on-prem offerings (AWS, Azure, Google Cloud, VMWare).• Leading teams directly responsible for unlocking over $500 million of ARR for Teradata via our public cloud offerings.• Oversaw the completion and release of the Teradata VantageCloud Lake database provisioning and configuration automation services on AWS and Google Cloud.• Delivered mission critical features enabling cloud elasticity, security, cost optimization, and resiliency for our public cloud offerings on tight deadlines.• Completely overhauled and optimized engineering level support process, which improved organization, efficiency, and risk of turnover due to engineering burnout.

• Managed team of engineers in the development and support of the Teradata IntelliCloud and VantageCloud Enterprise products on AWS.• Redesigned the Teradata Database Priority Scheduler kernel extension, significantly improving database workload performance on modern Linux kernel versions.• Collaborated directly with customers and account teams to resolve database performance issues, resulting in a $6 million contract extension.

• Released the first Teradata Database marketplace offering on AWS, enabling public cloud ARR revenue streams.• Served as Scrum Master and Kanban advisor for multiple teams.• Concurrently led multiple domestic and international feature development teams in subject areas including cloud computing, kernel extension development, Eclipse plug-ins, tools development, web application development, testing, and virtualization.• Coordinated efforts between multiple departments for integrated feature testing, feature development, and experimental platform evaluation.• Experience with Agile, SAFe, and Waterfall software development processes.

• Developed, supported, and debugged the Teradata PDE (Parallel Database Extensions) Linux and WS2003 kernel modules in C with a focus on process scheduler extensions.• Contributed to the design and development of the PDE Kernel Priority Scheduler rewrite to support Linux CFS (Completely Fair Scheduler) facilities.• Designed and developed tooling to report kernel level performance and debugging data across distributed systems using C/C++ and Perl.• Gained experience with highly parallel and high performance systems.