Turn scattered business data into decisions you can trust.
We help mid-market companies connect the systems they already own and turn their data into one consistent, decision-ready source for analytics, applications, and AI.
Serving distribution, professional services, financial services, healthcare, manufacturing, and beyond.
The integration is rarely the hard part. Meaning is.
ERP, CRM, billing, e-commerce, and SaaS applications often identify the same customer, product, or order differently. We resolve those identities and relationships into a model that downstream systems can reuse.
enJerneering creates the contextual layer between your sources and your consumers, so applications can work from data that is consistent, traceable, and understandable.
Connect, contextualize, deliver
Integrate, model, contextualize, validate, and expose. The output is a reusable data product, not another pipeline.
Connect
Integrate ERP, CRM, finance, SaaS, and operational sources.
Contextualize
Resolve identities, relationships, hierarchies, units, metadata, and business meaning.
Deliver
Publish reusable data products into Snowflake, Databricks, APIs, event streams, analytics, or applications.
Where we sit
Platform-aware, not platform-dependent. Connectivity stays with the products built for it.
In a fixed-fee Data Context Diagnostic we map 2–4 systems, find where identity and meaning break, and leave you with a target architecture and a prioritized backlog.
Who we work with
Growing companies outgrowing their systems
Acquisitions, new ERPs and CRMs, and AI projects that need one consistent view of customers, products, and orders.
B2B software vendors and SaaS teams
An integration layer or customer-specific connectors, delivered under your product.
Consultancies and digital-transformation SIs
Data architecture and contextualization specialists for bounded work inside your programs.
Distribution, services, and finance data teams
ERP, CRM, billing, SaaS, and event data that encode the same concepts differently.
Frequently asked questions
- What does enJerneering do?
- enJerneering is a data integration and data architecture consultancy for mid-market companies. We connect the systems you already own, such as ERP, CRM, billing, and SaaS applications, and turn their data into a consistent model your analytics, applications, and AI can use.
- Who do you work with?
- We work with mid-market companies in distribution, professional services, financial services, healthcare, manufacturing, and other industries, as well as B2B software vendors and system integrators that need specialist data modeling capacity.
- How does an engagement start?
- Most clients start with a free 30-minute Data Context Review of one blocked data flow. If there is a fit, the next step is a fixed-scope Data Context Diagnostic that maps 2–4 systems and ends with a target architecture and a prioritized backlog.
- Do we need to buy a new data platform?
- No. We work with the warehouse, integration tools, and applications you already license, including Snowflake, Databricks, Microsoft Fabric, and Cognite Data Fusion, and add custom code only where a product is unnecessary.
- What do we receive at the end?
- Every engagement ends with something your team can own: a decision, a model, working code, or documented pipelines. We hand off the models, code, and documentation so you can run them without us.
- How do we contact enJerneering?
- Email enjerneering@gmail.com or message us on LinkedIn at linkedin.com/company/enjerneering. We reply within two business days.
We work with your ecosystem
enJerneering is not another data platform. We integrate and extend the technologies you already use.
Product names are trademarks of their respective owners and are used to describe compatibility. No partnership or endorsement is implied.