JW.John Wilhelmi

AZURE SOLUTIONS ARCHITECT

Good architecture.
Built for the
real world.

Connecting infrastructure, data and AI with the governance and cost discipline that make cloud solutions work.

Azure Solutions Architect Expert · Greater Chicago area

ARCHITECTURE / A PRACTICAL VIEW01
START WITH THE WHYBusiness outcomesClarity · Resilience · Sustainable cost
InfrastructureA secure foundation
DataUseful, trusted insight
AIAccountable workflows
Governance / Operations / FinOps
DESIGN → OPERATE → IMPROVE
Cloud architectureGovernance & securityFinOpsData & agentic AI

01 / THE APPROACH

Architecture is a set of decisions.
Make each one count.

A design needs to make sense for the people who fund it, build it and keep it running.

01

Start with the business.

Translate the problem into clear requirements. Understand the constraints before choosing the services.

02

Design for operations.

Bring identity, networking, monitoring and recovery into the design from the beginning.

03

Make the tradeoffs visible.

Explain what a decision means for cost, security and complexity—then revisit it as needs change.

IN FOCUS / FINOPS

Cost is an
architecture decision.

At D&W Fine Pack, I reduced Azure spend by more than 50% in three months—from approximately $40,000 to under $20,000 per month—while maintaining uninterrupted 24×7 manufacturing ERP operations.

See how I approached it
  1. 01

    Understand the spend

    Establish a baseline and connect resources to owners and workloads.

  2. 02

    Evaluate the options

    Review utilization, service choices and commitments against business needs.

  3. 03

    Build a feedback loop

    Track cost alongside reliability and performance, with clear accountability.

02 / SELECTED WORK

Ideas into architecture.

Enterprise results and ongoing project work.
Grounded in infrastructure, governance and cost.

01 / CLOUD ECONOMICSExperience

D&W Fine Pack:
Azure cost optimization

More than 50% lower monthly Azure spend in three months, with no disruption to 24×7 manufacturing ERP.

FinOps · Azure Policy · Cost Management
View the approach

The question

How can a team reduce avoidable cloud spend while preserving the reliability its workloads need?

The assessment

Worked with stakeholders to understand utilization, archived dormant data, scheduled off-hours shutdowns, applied reservations to steady-state workloads, and right-sized storage and databases.

The outcome

Monthly Azure spend fell from approximately $40,000 to under $20,000 in three months. Manufacturing ERP operations continued without disruption.

02 / DATA & AIConcept

KFA: auditable
financial analysis

Exploring how structured data, traceable sources and deterministic calculations can support AI-assisted analysis.

Traceability · Validation · Human review
View the approach

The question

How can a reviewer follow a financial conclusion back to its calculations and evidence?

The architecture direction

Separate calculations from generated narrative. Validate structured inputs and retain source references so a person can check the result.

Portfolio development

The universal architectural framework explores coexistence, migration and human review. Explore the KFA framework →

03 / PLATFORM FOUNDATIONSExperience

Crash Champions:
repeatable cloud foundations

A standardized “Shop in a Box” model to integrate acquired locations consistently and securely into corporate Azure landing zones.

Identity · Hybrid infrastructure · PowerShell
View the approach

The question

How do you give teams room to deliver while maintaining consistent controls?

The design

Architected and deployed the “Shop in a Box” model, enforced Azure Policy and RBAC governance, and developed PowerShell automation to improve deployment consistency.

Related delivery

Designed and scaled Azure-based VDI and coordinated a 100-server migration from VMware ESXi to bare-metal Windows Server hosts across shop locations.

ARCHITECTURE NOTEBOOK

Exploring the decisions behind the design.

Concept sketches, working references and perspectives on cloud architecture. These are starting points for discussion and detailed design.

Connecting separate Azure environments — supplied concept illustration

Integration concept

Connecting separate Azure environments

An exploration of protocol mapping, data conversion and authorization at the boundary between two environments.

“Transformer gateway” is a conceptual component in this sketch. A detailed design still needs explicit identity, network and data-access boundaries.

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Temporary processing environments — supplied concept illustration

Data architecture concept

Temporary processing environments

An exploration of creating temporary staging and transformation resources, delivering processed data, and cleaning up resources after completion.

The next design step is to specify orchestration, failure recovery, retention and cleanup verification. Service labels represent the original concept.

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Modernization tied to business decisions — supplied concept illustration

Business architecture concept

Modernization tied to business decisions

A proposed flow from portfolio-company legacy assets through data modernization to analytics and a human decision gate.

The target outcomes are design goals, not measured financial results.

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VM cost and discount reference — supplied concept illustration

Illustrative worksheet

VM cost and discount reference

A quick comparison of hourly rates, 24-hour daily costs and monthly estimates based on 730 hours. Monthly cost after a discount equals hourly rate × 730 × (1 − discount).

For example, $1/hour gives $730/month, or $511 with an assumed 30% discount. The sheet does not specify VM sizes, regions, licensing or current Azure offers; actual discounts and total costs need a workload-specific estimate.

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Technology changes. People adapt. — supplied concept illustration

Perspective

Technology changes. People adapt.

A visual starting point for discussing the relationship between technology cycles, learning and adoption.

My practical takeaway: evaluate the benefits and tradeoffs, then give people the context and support to adopt a change. Newer technology is not automatically better for every workload.

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From operating systems to designing them — supplied concept illustration

Career reflection

From operating systems to designing them

A visual metaphor for expanding from hands-on infrastructure work into architecture, migration, cost and governance decisions.

Exam labels in the illustration describe a learning journey; earned qualifications are listed in the credentials section.

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KFA: County Connector Hub — supplied example

Product prototype

KFA: County Connector Hub

A prototype for organizing county-specific connectors, tenant enablement, authorization status and audit workflows in one place.

The screenshot shows a proposed interface and example tenant counts; it does not establish live county integrations.

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Thinking through availability-zone distribution — supplied example

Illustrative comparison

Thinking through availability-zone distribution

A comparison of evenly distributed, explicitly assigned and unevenly distributed workloads across three zones.

The counts illustrate scenarios, not guaranteed Azure placement behavior. The first two examples total 99 tenants; the third totals 100.

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Regional risk belongs in the architecture conversation — supplied example

Resilience perspective

Regional risk belongs in the architecture conversation

A supplied Tornado Archive map of the Des Moines area prompts a broader discussion about geographic hazards and recovery planning.

Historical tracks alone do not establish risk to a particular datacenter. A design needs workload recovery objectives, dependency analysis and verified regional information. Map credit: Tornado Archive; underlying map attribution remains visible in the image.

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John Wilhelmi
JOHN WILHELMI

03 / THE PERSON BEHIND THE DESIGN

An infrastructure mindset.
A wider architectural view.

I’m John Wilhelmi, a cloud architect with nearly 30 years in technology, including more than 11 years in infrastructure and cloud engineering. I design Azure environments that balance performance, security, governance and cost.

I’m interested in the decisions that connect those disciplines: how a solution is secured, how it is operated, what it costs and how its value can be measured.

My experience spans enterprise cloud engineering, managed services and business ownership. I completed my B.S. in Cloud Computing at Western Governors University in March 2026 and earned Azure Solutions Architect Expert in September 2026.

AzureBicepMicrosoft FabricGoverned AIArchitecture

EXPERIENCE & CREDENTIALS

Practice backed by continued learning.

Microsoft Certified

  • Azure Solutions Architect Expert — September 2026
  • Azure Administrator Associate — renewed August 2026
  • Azure Data Fundamentals — March 2026
  • Azure Fundamentals — September 2022

Education & foundations

  • B.S., Cloud Computing — WGU, March 2026
  • CompTIA Cloud+, Security+, Network+ and A+
  • ITIL Foundation and CompTIA Project+
  • LPI Linux Essentials

Microsoft Fabric, Synapse Analytics, Databricks and Terraform: lab and academic experience. Agentic AI: ongoing project work.

A COLLEAGUE’S PERSPECTIVE

“John is the kind of engineer who does not stop at keeping systems up. He designs the next state.”

Dave Magiera Worked with John at D&W Fine Pack and Crash Champions

RÉSUMÉ

Take a closer look at my experience.

Download my résumé for professional experience, certifications, education and selected projects.

Download résumé PDF

LET’S CONNECT

Have a role in mind?
A cloud challenge to solve?

I’m interested in conversations about Azure architecture, governance, FinOps and practical AI solutions.

Roles & opportunities

Architecture, cloud infrastructure and technical leadership.

Projects & collaboration

Cloud design reviews, governance and cost assessments.

Greater Chicago area · Open to contract, contract-to-hire and full-time engagements