SOX audit governance
Regulated telecom carrier, manual paper-based process. Chris tracked down the source data, built the compliance model and evidence package, and the first SOX audit finished with zero findings.
Read the full case study →For organizations · proof
Proof, organized by the question behind it.
If you’re trying to decide whether Gambill Data is credible, don’t start with a general about page. Start with the concern you actually have — this page groups the strongest evidence by what buyers usually want to verify, then links to the underlying case study, decision record, or credential source. Short summaries live here; the source material lives on the canonical page.
What buyers usually want to verify
Most buyers aren’t looking for a portfolio. They’re checking a few specific risks.
Buyer concern
Can this person handle a regulated environment?
Yes. A regulated telecom carrier trusted Chris with SOX governance work, and the first audit came back with zero findings.
Buyer concern
Do they understand Fabric at a technical level, not just the marketing layer?
The Fabric/Synapse migration risk assessment surfaced real workspace governance gaps, FinOps/ingestion anti-patterns, and Direct Lake readiness issues — with a sanitized diagram and full decision record behind it.
Buyer concern
Can they diagnose a real production reliability problem?
The pipeline case traces a concurrent-execution credential collision to its root cause and the Azure Key Vault redesign that fixed it — diagram and decision record included.
Buyer concern
Is this a real, credentialed practice or just claims?
Databricks Partner, Microsoft Partner, and Databricks Certified Professional Data Engineer all link to their live verification pages — not plain text.
Buyer concern
Who actually does the work?
An explicit boundary: what Chris owns, what he stays involved in, and what stays with your team.
Buyer concern
Will this become an implementation trap instead of a decision asset?
No — the Fabric work was delivered as an assessment and roadmap, not implementation. That distinction is stated plainly, not glossed over.
Evidence
The assets behind the answers above.
Each item here summarizes; it doesn’t duplicate. The full narrative lives on its canonical page, so nothing here needs a rewrite when that page changes.
Fabric / Synapse migration risk assessment
Assessment only, not implementation. Workspace governance, FinOps and ingestion anti-patterns, and Direct Lake readiness — delivered as a prioritized roadmap.
Read the full case study →Pipeline reliability
A production pipeline failing intermittently under concurrent execution, traced to a credential-collision pattern and fixed with an Azure Key Vault token-lifecycle redesign.
Read the full case study →Key Vault credential redesign
A sanitized architecture diagram and full decision record — context, options considered, decision, why, consequences — for the pipeline case.
Open the decision record →Fabric migration remediation approach
Same treatment for the Fabric case: a four-stage diagram and decision record, framed as a delivered roadmap rather than a completed build.
Open the decision record →Verification, not assertion
Databricks Partner · Microsoft Partner · Databricks Certified Professional Data Engineer · Sessionize speaker profile · LinkedIn — all linked to their live source, not typed as plain text.
Verify credentials →The accountability boundary
What Chris personally owns, what he stays involved in, and what your team retains — the clearest answer to “who actually does the work.”
Read the framework →Still deciding?
See how the evidence maps to an engagement.
Once you know which concern matters most, the decision guide shows exactly which offer fits it.