Turn your data estate into a data intelligence platform.

We help enterprise data and engineering leaders consolidate fragmented warehouses, build production-grade pipelines, and operationalize AI on the Databricks Lakehouse.

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A Databricks delivery partner

Databricks-backed delivery

Our partnership helps clients move faster with solution patterns aligned to the Databricks ecosystem, stronger architecture choices up front, and a delivery team that can translate platform investment into governed business outcomes.

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Capabilities

Six service lines, one delivery team.

From first architecture review to ongoing managed services, our Databricks practice covers the full lifecycle of building and running a modern Lakehouse.

Modernization & Migration

Replatform legacy warehouses and on-prem Hadoop estates onto a unified Databricks Lakehouse. We handle target architecture, schema translation, landing-zone setup, workload mapping, and phased cutover with measurable cost and performance baselines.

Strategy & advisory

Shape the business case, roadmap, and operating model before delivery begins. We help leaders define platform priorities, sequence use cases, align stakeholders, and make smarter Databricks investment decisions from the start.

ETL & Data Pipelines

Production-grade ingestion and transformation built on Delta Lake, DLT, and Workflows, with CI/CD, observability, and lineage from day one. Rebuild brittle Informatica and SSIS jobs as resilient assets.

Unity Catalog & Governance

Enterprise-grade governance across catalogs, schemas, and external locations. Role- and attribute-based access, lineage, and audit are wired to your IDP and aligned to SOX, HIPAA, and GDPR controls.

ML & AI

Take models and AI assistants from concept to production. Feature engineering, MLflow, model serving, vector search, evaluation harnesses, and guardrails are designed for enterprise-grade performance, governance, and trust.

Managed services

Keep the platform healthy after go-live with monitoring, cost optimization, release support, incident response, and ongoing platform engineering. We help your team sustain momentum without carrying the full operational burden alone.

Industry solutions

Outcomes shaped to your sector.

Data intelligence isn’t horizontal. We bring pre-built reference architectures, data models, and accelerators tailored to the regulatory and operational realities of the industries we serve.

1

Retail & Consumer Goods

Data intelligence isn’t horizontal. We bring pre-built reference architectures, data models, and accelerators tailored to the regulatory and operational realities of the industries we serve.

2

Automotive

Connected vehicle, manufacturing, warranty, and dealer data brought together in a governed Lakehouse so teams can improve visibility, responsiveness, and product quality.

3

Manufacturing & Industrial
Bring ERP, MES, and IoT signal into a single platform. Power predictive maintenance and supply chain visibility with real-time data.

4

Professional Services

Quote-to-cash analytics and resource intelligence, connecting CRM, CPQ, and ERP into a single view of pipeline and delivery margin.

How we work

A five-phase delivery model, designed for momentum.

Most enterprise data programs stall in discovery. Ours don’t. We compress assessment into weeks, not quarters, and run delivery in tight, instrumented increments your steering committee can actually track.
1
Foundation
Align & Design

We align stakeholders on business priorities, assess the current estate, and shape the target Databricks architecture. This phase sets the roadmap, delivery sequence, and success measures before build work begins.

2
Platform
Core Buildout

We stand up the core Lakehouse foundation, including environments, ingestion patterns, orchestration, security controls, and reusable engineering standards. The result is a stable platform ready for downstream analytics and AI use cases.

3
Value
Analytics & Prototyping

With the foundation in place, we build early dashboards, data products, and AI or analytics prototypes that demonstrate business value quickly. This phase helps teams validate use cases and refine priorities before broader rollout.

4
Rollout
Deployment & Scaling

We productionize proven workloads, expand adoption across teams, and scale the platform through automation, performance tuning, and release discipline. The focus is moving from a strong pilot footprint to reliable enterprise-wide usage.

5
Control
Governance & Optimization

We reinforce long-term success with governance, monitoring, access controls, lineage, and ongoing platform optimization. This keeps the environment scalable, secure, and manageable as data products, users, and compliance needs continue to grow.

Why ennVee

Two decades of enterprise data, applied to the Lakehouse.

We’re not a Databricks-only shop. Our consultants have spent careers landing data into ERP, governance into regulated industries, and analytics into the hands of executives. That perspective is what your platform actually needs.

Years in business
0 +

Enterprise pedigree, not data startup

Two decades delivering ERP, data warehouse, and integration programs for global enterprises. We understand legacy estates because we built and ran them.

E2E

From ERP to AI

End-to-end across data, analytics, & AI

Source-to-insight capability on a single team, from Oracle, SAP, Salesforce, and custom apps into Databricks, then into governed data products and AI workloads.

Get started

Let's scope your Lakehouse in 30 minutes.

Tell us where you are today and what you’re trying to unlock. We’ll come back within two business days with a tailored discussion guide and a proposed assessment scope, with no slideware or fluff.

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Tier 2-3 Support Services

Tier 1 Support Services