About
Braden Keith
Serial entrepreneur. Data engineer. Business analyst. Optimizer.
The Man, The Myth, The Legend
Braden Keith is a detail-oriented, focused, driven, and performant serial entrepreneur who continually strives for optimization across all metrics in personal and professional realms.
From ascending the ranks of T-Mobile and emerging as a Resource Planning Analyst to tenure at Sandia Labs as a Business Analyst and experience as a Data Engineer for Global Ordnance, Braden Keith reaches new heights in all capacities beyond his station.
Braden Keith will analyze your business, identify KPIs, architect business systems specific to your needs, and engineer optimal solutions to increase the maturity of your business exponentially.
Competency Pillars
What drives the work.
Adopts new technologies and methodologies proactively — from VBA to MySQL to Python — before being asked.
Masters each tool deeply, building reusable frameworks and abstractions that outlast any single engagement.
Transforms raw data into actionable insight — dashboards, pipelines, and systems that drive measurable outcomes.
Consistently ranks as a top performer across every role, earning rapid promotions and client recognition.
Drives revenue growth, SLA compliance, and operational efficiency at scale — from call centers to national labs.
Generalizes solutions into reusable platforms, reducing duplication and accelerating future development.
Career
The progression.
2013 – 2015
Customer Service Representative → Resource Planning Analyst
T-Mobile
Built VBA/Excel dashboards to visualize call-center metrics; earned rapid successive promotions to Resource Planning.
2015 – 2018
Business Analyst
Sandia National Laboratories (via Kemtah / Belcan)
Optimized IT staffing and SLA performance; supported Belcan's acquisition of Kemtah; transitioned processes to the new organization.
2018 – Present
Data Engineer / Principal
Global Ordnance / Braden Keith IO LLC
Mastered MySQL and Python; built microservices and reusable frameworks; drove millions in revenue growth through data engineering and BI optimization.