Reporting that can be explained.
My work spans finance metrics, analytical data models, and portfolio reporting. I connect the business definition to the data and checks that make the result useful.
About / Scott McQueen
The person behind
the systems.
I’m Scott McQueen. I lead technical work from the first business question through design, implementation, and handoff.
Founder
McQueen Cloud Advisory
Business intelligence.
Automation. Cloud architecture.
Technical delivery.
Experience & perspective
Technical depth.
Business context.
The interesting problems cross boundaries: a reporting issue becomes a data problem; a manual process reveals a missing control. That is where I do my best work.
See the workAutomation with a clear operating path.
From recurring reconciliation to document workflows, I build around the inputs, exceptions, ownership, and human decisions that keep a process accountable.
Architecture tested against reality.
I have led platform assessments and technical delivery across business and IT teams. A working prototype is evidence to examine; workload, dependencies, and operating limits still determine the right design.
Selected qualifications
Study, applied.
Project delivery, analytics, and cloud data form the foundation. The published work shows how I use them.
Credential record & verification (opens in a new tab)Project Management Professional (PMP)
Project Management Institute
Current through December 2026
Power BI Data Analyst Associate
Microsoft
Active through May 2027
Azure Data Engineer Associate
Microsoft
Issued January 2025
Azure Data Scientist Associate
Microsoft
Issued October 2025
Applied Data Science Program
MIT Professional Education
Completed October 2024
Dates reflect the published credential record. Issue dates do not imply current certification status; issuer profiles provide renewal details.
A working technical library
The reasoning stays visible.
My cloud engineering knowledge base collects platform concepts, architecture decisions, implementation patterns, and hands-on labs. It is a deeper view into how I learn and build.
Explore the cloud engineering knowledge base (opens in a new tab)Every major component should have a clear purpose tied to a requirement, risk, or expected outcome.