Data infrastructure that holds up.
Pipelines, platforms and governance built for the day your data doubles and your auditors call.
What we build
Pipelines
Batch and streaming ingestion with data contracts, so upstream changes don't break what depends on them.
Platforms
Lakehouses and warehouses sized for your workload and your budget, not a vendor's roadmap.
Migration
Legacy databases and on-prem systems moved to the cloud with parallel runs and reconciliation.
Governance
Lineage, access control and quality checks built in from the first table.
How it's architected
ERP, CRM, files, sensors, APIs, legacy databases.
- SQL Server
- PostgreSQL
Batch and real-time, with contracts so upstream changes don't break downstream.
- Azure Data Factory
- Apache Kafka
- Apache Airflow
Tested, versioned, documented models.
- dbt
- Apache Spark / PySpark
A lakehouse or warehouse with governance built in.
- Databricks
- Delta Lake
Semantic layers and dashboards people trust.
- Power BI
- dbt
Models and retrieval that read from governed data.
- LLM APIs (Claude, OpenAI, open models)
- Vector databases
- MLflow
The tools your teams use every day.
- React / Next.js
- Python / FastAPI
Faster decisions, lower cost, fewer manual steps.
Typical engagements
Platform build
A new data platform from architecture to production.
Modernisation
Legacy pipelines and warehouses rebuilt on a modern stack.
Rescue
Fragile pipelines stabilised, observed and documented.
Technologies we work with
- Databricks
- Apache Spark / PySpark
- Azure Data Factory
- dbt
- Apache Kafka
- Apache Airflow
Where we apply it
Have a complex problem?Let's engineer the solution.
Tell us what you're trying to build, improve, automate or understand. We'll help you find the technology path forward.