Cloud data platforms
Lakehouse, warehouse and domain-oriented architectures on Microsoft Azure.
All technology areas
Reliable foundations for analytics and AI
Data Engineering
AI and analytics are only as dependable as the data foundations beneath them. Intelex builds cloud data platforms that ingest, transform, govern and serve information with clear lineage, quality controls, security and operational ownership.
Discuss data engineeringDesigned for production
Secure by design
Integrated engineering
Outcome led
What it enables
Technology connected to an operational result.
- Reduce time spent reconciling inconsistent data
- Create reusable, governed data products
- Support real-time and batch analytical workloads
- Improve lineage, quality and access control
Capability
Expertise across the complete solution.
We connect product, architecture, engineering, quality and service management so each part works as one dependable system.
Pipelines & integration
Batch, streaming, CDC, API and event-driven data movement.
Data quality
Automated validation, observability, lineage and incident ownership.
Governance & security
Classification, access, retention, catalogue and auditable data use.
Our approach
A controlled route from ambition to value.
Design from consumers
Model the products, reports, models and operational uses the platform must serve.
Automate trust
Test schemas, completeness, timeliness and business rules within pipelines.
Operate as a product
Give data domains owners, service expectations and measurable health.
Next step
Make data engineering useful.
Bring us the workflow, platform or service you want to improve. We will help you shape the right next move.