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Data, AI, and Cloud Delivery Consulting

I help data and engineering leaders remove delivery bottlenecks across pipelines, platforms, and workflows so AI, analytics, and automation can ship faster—with the team they already have.

Experience across large-scale data platforms, ML infrastructure, and cloud-native pipelines in high-demand environments.

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Your AI and Data Initiatives Are Too Important to Miss Critical Deadlines

Most organizations don’t stall because of a lack of talent or technology. They stall because of hidden blockers—compliance uncertainty, fragile data pipelines, unclear ownership, slow workflows, missing documentation, or simply not knowing where to start.

Whether your challenges involve AI, data engineering, legacy systems, compliance, or outdated processes, the underlying issues are the same—and I help you fix them at the source.

The Real Symptoms

Across industries, the pain points look different on the surface but stem from the same core issues—people, process, or technology misalignment:

  • AI, analytics, or automation initiatives that repeatedly stall or never reach production
  • Data pipelines or workflows that slow or stall your ability to deliver AI or analytics outcomes
  • Teams unable to move initiatives forward due to unclear ownership, missing documentation, or misaligned expectations
  • Compliance or governance blockers preventing AI or analytics initiatives from launching
  • Manual steps, tribal knowledge, or fragile processes introducing risk and delay
  • Leaders struggling to see where readiness gaps exist—or what to prioritize first

The Underlying Problem

Most organizations don’t struggle because of a lack of effort or talent. They struggle because the foundations required for reliable decision-making, automation, or AI aren’t aligned.

The root causes usually fall into three buckets:

  • People: unclear ownership, misaligned expectations, inconsistent communication, or gaps between technical and compliance teams
  • Processes: undocumented workflows, unpredictable handoffs, manual steps, or approval paths that slow delivery
  • Technology: fragile pipelines, missing lineage, insufficient observability, or systems not ready for AI or automation

When these foundations are unclear or misaligned, everything built on top—AI, analytics, automation, compliance workflows—moves slowly or not at all.

How I Help You Move Forward

My work gives you a clear, objective view of what's slowing your organization down—across people, processes, and technology—and then focuses on the thin slice where improving delivery efficiency will have the biggest payoff.

  • Data & AI Delivery Efficiency Audit: A focused assessment of one critical workflow or initiative to identify where engineering and analytics capacity is being wasted, how long work actually takes, and which bottlenecks create the most friction.
  • 90-Day Delivery Efficiency Plan: An executive-level roadmap produced as part of the audit that prioritizes the highest-leverage fixes over the next 60–90 days—showing what to address first, what can wait, and how to improve throughput using the team and tools you already have.
  • Optional Follow-On Support: If it makes sense for both sides, I can provide targeted advisory support or assist with the implementation of a small number of high-leverage changes as a separate engagement.

The outcome: clarity on where time is being lost today and a practical path to ship AI and analytics work faster without burning out your team.

What I Believe

Guiding principles behind how I design and deliver every engagement

Technology Should Follow Business Needs

I prioritize practical solutions over trends. If a small automation solves a problem, that's more valuable than introducing complex systems your team can't maintain.

Compliance Is Foundational

In regulated industries, data governance, privacy, and auditability must be built in from the beginning. Strong compliance reduces risk and accelerates approvals for AI initiatives.

Sustainable Speed Beats Shortcuts

Quick wins matter, but only when paired with the right engineering foundations. I aim for progress without creating tomorrow's technical debt.

AI Requires Readiness, Not Just Models

AI projects often stall due to data quality, lineage, access, or governance issues—not model performance. I help organizations build the readiness required to make AI deployable and compliant.

My Background

My background brings deep experience across data engineering, AI engineering, MLOps, cloud architecture, and automation. I've supported teams operating in high-throughput, compliance-intensive environments across a wide range of sectors.

With hands-on expertise in tools like Airflow, Spark, Python, Kubernetes, Snowflake, AWS, GCP, Azure, and modern ML platforms, I focus on building reliable pipelines, clear governance, and scalable systems that teams can actually use and maintain.

My work spans AI/ML infrastructure, orchestration, data quality enforcement, experiment tracking, workflow automation, observability, compliance alignment, and cloud-native modernization. I understand the practical constraints of real operational environments and design solutions that fit them.

I work 100% remotely, supporting multiple client initiatives at once. My focus is delivering clarity, reducing friction, and helping teams move forward with confidence without overextending budgets or introducing unnecessary complexity.

Ready to Get Started?

Book a free 30-minute strategy call. We'll discuss your challenges, evaluate if we're a good fit, and outline potential next steps.

Book a Strategy Call

Start here: Why AI initiatives stall • Delivery Efficiency Audit • Book a strategy call