
"Delivering enterprise solutions for the world's most complex organisations since 2011."
Senior Consultant delivering enterprise SharePoint, O365, and cloud solutions for Fortune 500 clients globally.
Azure Solutions Architect Expert, Agentic AI, Power Platform Developer, Power BI Analyst, and more.
Doctor of Science in Information Technology — completing 2027.
Fluent English and Spanish, intermediate German — effective across global enterprise engagements.
With over 15 years at Microsoft as a Senior Consultant, I have architected and delivered enterprise-grade SharePoint and Office 365 solutions for Fortune 500 companies including Coca-Cola, Bank of America, Pepsi, FedEx, and Walmart. My expertise spans cloud transformation, cybersecurity strategy, and AI/ML implementation. I combine deep technical mastery with academic rigor — currently pursuing a Doctorate in Information Technology at Purdue University and teaching Machine Learning as an Adjunct Professor at Atlantic University.
From SharePoint farm architectures for Bank of America to O365 migrations for Pepsi, FedEx, and Walmart — my work sits at the intersection of technology and business transformation. Today my focus is Agentic AI, Power Platform, and intelligent automation at enterprise scale.
Languages
Currently
Work Experience
- Architect and deliver SharePoint Online & O365 solutions for Fortune 500 companies across banking, retail, healthcare, and government sectors
- Led enterprise digital transformation for Bank of America, Pepsi, FedEx, Walmart, CDC, FDA, Coca-Cola, and more
- Design SharePoint farm architectures supporting multi-channel delivery (desktop, tablet, mobile) with multilingual publishing
- Build BI dashboards using PowerPivot, Excel Services, Performance Point, and SQL Reporting Services
- Conduct O365 POC pilots for organizations including Bio-Rad (1,000+ users) and PricewaterhouseCoopers
- Migrate SharePoint 2007/2010 environments to SharePoint 2013/Online preserving content, workflows, and customizations
Technical Skills
20+ years across enterprise cloud, AI/ML, cybersecurity, and full-stack development.
Microsoft Cloud & Productivity
8AI & Machine Learning
8Development
8Data & Business Intelligence
8Cybersecurity
7Architecture & Methodology
7Education & Degrees
Doctor of Science, Information Technology
Purdue University
Executive MBA, Business Administration and Management
Quantic School of Business and Technology
Master of Science in Cybersecurity
Syracuse University
Master of Science in Information Systems
DePaul University
Bachelor of Science, Systems Engineering
Universidad Católica de Santa María
Active Certifications
11 active certifications · 14 exams passed · 114 modules completed
Microsoft Certified: Azure Solutions Architect Expert
Jun 2026
Microsoft Certified: Agentic AI Business Solutions Architect
Microsoft Certified: Power Platform Developer Associate
Microsoft Applied Skills: Azure AI Language (NLP)
Microsoft Certified: Power BI Data Analyst Associate
Microsoft Certified: Power Platform Fundamentals
Microsoft Certified: Azure AI Fundamentals
Historical Certifications
Enterprise Clients Served
Fortune 500 companies and government agencies transformed through SharePoint, O365, and cloud architecture.
Delivered as a Microsoft Consultant across 16+ enterprise engagements spanning Banking, Government, Healthcare, Retail, and more.
Honors & Awards
Member, Phi Kappa Phi Honor Society
Member, Golden Key International Honor Society
Dean's List — DePaul University (GPA 4.0, Graduated with Distinction)
Professional Thesis with 'Public Honors' — Universidad Católica de Santa María
2nd Place — X Software & Systems Congress, Arequipa, Peru
Member, Peruvian Computer Science Society (SPC)
Let's build something extraordinary.
Open to consulting engagements, advisory roles, and speaking opportunities.
Best way to reach me
Connect on LinkedIn
linkedin.com/in/renzocarpio
Location
Hollywood, Florida, United States
Specialising in enterprise cloud architecture, cybersecurity, and AI/ML implementation at Fortune 500 scale.
View full LinkedIn profile