Data Integration & ETL

Connect Your Systems.
Modernise Your Pipelines.

We re-engineer legacy ETL and build modern pipelines and API integrations that bring your data together on Azure, AWS, Databricks, Snowflake and Microsoft Fabric - reliably and on schedule.

Data Integration
Technologies We Use
Azure Data FactoryDatabricksMicrosoft FabricdbtSnowflakeREST APIs
What We Deliver

Our Data Integration
Capabilities.

πŸ”

ETL Re-engineering

Move legacy SSIS, Informatica, DataStage and hand-coded jobs to modern, maintainable pipelines - with the business logic documented, not lost.

πŸ”—

ELT Pipelines

Ingestion and transformation pipelines into your lakehouse or warehouse, with incremental loads, error handling and monitoring built in.

🌐

API Integration

REST and event-based integrations connecting SaaS platforms, ERPs, CRMs and legacy systems to your data platform.

⚑

Real-Time Streaming

Event streaming with Azure Event Hubs, Kafka and Databricks for near-real-time dashboards and operational alerts.

πŸ—οΈ

Warehouse & Lakehouse Loading

Data modelled and loaded into Databricks, Snowflake, Synapse or Fabric, with sensible partitioning and medallion layers.

πŸ“‹

Data Quality & Lineage

Validation, reconciliation and lineage tracking so you can trust the numbers in every Power BI report.

Team mapping how systems connect on a whiteboard
Our Approach

Replace Point-to-Point Integrations with One Trusted Platform

Over time, most organisations build up point-to-point integrations, overnight batch jobs and spreadsheets that move data between systems. They are hard to change, easy to break, and every new report adds another one. We replace them with a governed integration layer on a modern data platform - so your teams work from a single, trusted view of the business, and new reporting or AI use cases don't start from scratch.

How We Modernise Data β†’
How We Work

Our Delivery
Process.

A proven, collaborative approach that keeps you informed and in control at every stage.

01πŸ—ΊοΈ

Map

Source system discovery, data mapping and documentation of existing ETL logic.

02πŸ”§

Build

Pipeline development with error handling, retry logic and monitoring built in.

03βœ…

Validate

Reconciliation against legacy outputs and data quality checks before go-live.

04πŸ“‘

Monitor

Production monitoring, alerting and ongoing pipeline support.

Technologies

Tools & Platforms
We Work With.

Azure Data FactoryMicrosoft FabricDatabricksSnowflakeAzure SynapsedbtApache AirflowAWS GlueApache KafkaAzure Event HubsSQL Server & SSISREST APIs

Ready to Modernise
Your Pipelines?

Let's map your systems and legacy ETL, and design an integration architecture that scales.

Book a Free Assessment β†’