Your platform has grown faster than its standards.
Cloud environments, identity, networking, or IaC patterns need to become repeatable before the next wave of growth.
Cloud platforms · Data systems · Applied AI
Cloud, data, and AI infrastructure for teams that need systems they can trust.
Venturi Logic is the consulting practice of Luke Stefurak, a systems-minded software engineer with the range to understand complex architecture quickly and the hands-on depth to write the code that ships it.
10+ years across healthcare, enterprise, and defense — cloud platforms, data systems, delivery pipelines, and applied-AI workflows built to actually run in production.
Where I come in
Your data workflows need more confidence.
Pipelines, reporting, or analytics systems need stronger validation, governance, and reliability.
Your delivery process is getting brittle.
CI/CD, Kubernetes, GitOps, and environment promotion need a calmer path from change to production.
Your AI workflow needs engineering discipline.
LLM or agentic systems need context, evaluation, observability, and guardrails before they become operational risk.
Services
Clear technical direction, backed by hands-on execution.
I work best where infrastructure, data, developer experience, and security overlap, especially when teams need someone who can design the path and help ship the code.
Platform foundations
Cloud Platform Foundations
For teams whose cloud footprint has outgrown ad hoc provisioning, I design Azure-first and multi-cloud foundations that make environments repeatable, secure, and easier to operate: Terraform/Terragrunt modules, networking, identity, encryption, governance, and handoff-ready standards.
Pipelines and trust
Data Systems & Analytics Reliability
When reporting, research, or decision systems need audit confidence, I build secure data platforms and validation workflows across Azure SQL Managed Instance, Synapse Analytics, ADLS Gen2, Databricks, PySpark, and Delta Lake so issues surface before they reach downstream teams.
Delivery and reliability
DevOps & Developer Infrastructure
For teams slowed down by brittle releases or unclear ownership, I build CI/CD systems for application, infrastructure, and analytics workloads using GitHub Actions and Azure DevOps, plus Kubernetes deployment platforms with GitOps for safer promotion across environments.
Production-grade workflows
Applied AI & Automation
I help teams turn AI ideas into engineered workflows: LLM integration, retrieval and context engineering, tool sandboxing, agent orchestration, evaluation, observability, and the guardrails needed for AI systems that belong in real engineering environments.
How I Work
The right architecture is the one your team can actually run.
Pragmatic over impressive.
The right architecture is the one your team can run, debug, and extend, not the one with the most boxes on the diagram. I optimize for clarity, ownership, and the work that keeps moving after the initial build.
Outcome-aware.
Every engagement should move something that matters: deployment time, iteration speed, infrastructure cost, pipeline reliability, audit confidence, or time-to-provision. If a change doesn't improve the system people actually use, it's worth questioning.
Senior judgment, hands on.
I move between strategy and implementation, sitting in the architecture review and the code review in the same afternoon, and translating between engineering, infrastructure, security, data, and operations teams.
Built to be handed off.
I'd rather leave you with reusable modules, documented standards, and a team that understands the system than a dependency on me. Good consulting should make itself unnecessary.
Experience
Proof from places where reliability, security, and developer velocity matter.
Duke Clinical Research Institute
Regulated dataLed architecture and hands-on implementation for Azure data platforms used in clinical research and enterprise reporting. The work centered on secure foundations, repeatable infrastructure standards, and data workflows that engineering teams could operate with more confidence.
Microsoft Windows Engineering Systems
Developer infrastructureWorked on the build and release systems behind Windows, where small improvements to developer feedback loops matter at enormous scale. Focused on CI infrastructure, release reliability, and applied ML efforts that helped improve signal for engineers working inside one of the world's largest codebases.
Lockheed Martin
Systems + securityBuilt and supported secure software and networking systems in defense environments where reliability and operational discipline were non-negotiable. Projects spanned encrypted networks, secure communications, and real-time distributed data systems.
I'm the engineer behind Venturi Logic. I've spent over a decade building the infrastructure that lets everything else run: cloud platforms, deployment systems, data pipelines, governance frameworks, and now AI-enabled workflows that need production engineering discipline.
What I keep coming back to is this: most teams don't need a bigger architecture. They need a clearer one, with someone who's equally willing to defend a design decision, write the module, unblock the pipeline, and explain the tradeoff.
Venturi Logic is small on purpose. You work directly with me, not a layer of account managers in front of a rotating bench.
Contact
Have infrastructure that's outgrown its setup?
I take on a small number of engagements at a time and am happy to start with a no-pressure conversation about the problem before anyone talks scope.
Platform review or Azure modernization
Data system reliability or audit readiness
CI/CD, Kubernetes, or GitOps delivery cleanup
AI workflow architecture, evaluation, and guardrails
Chattanooga, TN — working with clients remotely