Diagnose the real decision
Separate the immediate symptom from the architecture, governance, operating-model, or ownership issue driving it.
For organizations
Independent data strategy and architecture advisory for consequential decisions.
Gambill Data helps leaders reduce the risk of platform, governance, modernization, and AI decisions before the organization commits more budget, engineering effort, or credibility to the wrong path.
When to call
When data work starts costing more trust than it creates.
01
Reports and dashboards do not agree
02
Engineers spend too much time firefighting
03
Ownership, definitions, and governance are unclear
04
Platform decisions are stalling or being made by default
05
Migration risk is growing faster than the plan
06
AI expectations are outrunning data readiness
What Chris owns
Direct senior accountability from diagnosis through the decisions that matter.
Chris personally leads initial diagnosis, architecture direction, critical tradeoffs, executive communication, recommendations, and quality oversight. The exact level of involvement is agreed in the engagement scope—not hand-waved into an availability promise.
Direct the tradeoffs
Make platform, reliability, governance, sequencing, and execution choices explicit enough for leaders and engineers to act on.
Leave the team stronger
Provide decisions, standards, designs, review feedback, and context that internal teams and existing partners can use without permanent dependence.
Engagement model
Advise. Lead. Enable.
Choose the mode based on the decision, risk, and capability your organization needs—not a prepackaged implementation quota.
01
Advise
Assessments, audits, independent reviews, strategy, roadmaps, and platform decisions.
You receive evidence, a risk-based point of view, practical recommendations, and a decision path.
02
Lead
Architecture direction, governance leadership, decision forums, standards, design reviews, and ongoing advisory oversight.
Chris remains directly involved in critical tradeoffs, executive communication, and quality oversight within scope.
03
Enable
Technical guidance, workshops, implementation review, working sessions, and capability transfer with internal teams and existing partners.
Implementation support is defined separately. Gambill Data does not present a large delivery bench or take operational ownership by default.
Technical depth, used deliberately
Databricks and Fabric are evidence of depth—not predetermined answers.
Gambill Data is Databricks-first and maintains a strategic Microsoft Fabric practice. Both sit inside a broader advisory proposition built around the decision, risk, operating reality, and implementation path.
Primary specialization
Databricks advisory
Lakehouse architecture, Unity Catalog, Delta reliability, production patterns, cost, and AI readiness.
Microsoft practiceFabric & Synapse migration
Migration readiness, OneLake, capacity and CU risk, Power BI impact, governance, audit visibility, and cutover planning.
DirectionData strategy
Business priorities, ownership, operating model, investment choices, and a defensible roadmap.
ArchitectureData architecture
Standards, design review, integration patterns, governance, and a target state the team can operate.
Start with fit
Get a clearer read before funding the next move.
Use the 30-Minute Strategy and Architecture Fit Call to discuss the decision, who is involved, what has been tried, and whether a bounded advisory engagement makes sense.
See what the call covers ↗