Lakehouse architecture
Medallion patterns, workspace structure, data domains, table design, notebooks, reusable code, and governed datasets.
Bronze Databricks Partner
Make Databricks easier to govern, operate, and explain.
Gambill Data is a Databricks-first consultancy led by a Databricks Certified Data Engineer Professional. The work connects lakehouse architecture and production engineering to business risk, cost, ownership, and AI readiness.
Platform focusDatabricks
Architecture · Unity Catalog · Delta Lake · Workflows · Cost · AI readiness
Capabilities
From useful notebooks to a dependable platform.
Unity Catalog governance
Ownership, access, lineage, stewardship, documentation, and standards that support delivery.
Delta Lake reliability
Table health, quality checks, schema evolution, recovery paths, and pipeline habits that build trust.
Workflows & productionization
Deployment, monitoring, parameterization, testing, support expectations, and Databricks Asset Bundles.
Cost & performance
Compute, workload, storage, scheduling, and roadmap tradeoffs leaders can understand.
AI readiness
Data quality, governance, privacy, lineage, and operating patterns ready for responsible ML and GenAI.
Named offer
Databricks Lakehouse Readiness Review
A focused senior review for more users, more production workloads, more governance expectations, or more AI pressure.
01
Current-state read
Map workloads, ownership, governance gaps, cost concerns, and production pain.
02
Risk and value framing
Separate urgent reliability and governance risk from lower-value cleanup.
03
Actionable roadmap
Prioritize architecture, Unity Catalog, Delta reliability, Workflows, performance, and handoff.
Typical fixed-fee range$15,000–$45,000
Based on workspace complexity, notebooks and workflows, Unity Catalog scope, stakeholder interviews, cost analysis, and roadmap depth.
Use a resource first
Databricks vs. Snowflake scoring matrix
Compare platform tradeoffs using visible business criteria instead of tool preference.