Data Engineering & Ops
ETL & ELT Pipelines
Extract-transform pipelines built as a product — tested, documented and version-controlled — not a cron job nobody dares touch.
100% delivery success — delivered worldwide across seven regions
What you get
Where ETL & ELT Pipelines earns its place
Reliable movement at any volume.
- Idempotent, restartable jobs
- Tested and version-controlled
- Lineage from source to serving
Tools & platforms
What we build it with
The stack MOD actually delivers this on.
Delivery model
How the work actually runs
One delivery model, whatever the engagement. You always know what is shipping this week and what it is worth.
Discovery
We map your sources, decisions and blockers, understand the business goal, and agree what success looks like before anything is built.
Solution design
We design the architecture, data models and use cases — right-sized to your team and your cloud — and cost the work before you commit.
Development
Weekly sprints against a visible backlog: pipelines, models, dashboards and applications, all in version control and yours from day one.
Testing & validation
Every pipeline and model is tested — with frameworks like PyTest and Great Expectations — so the numbers are trustworthy before they ship.
Deployment & training
We deploy into your cloud and train the people who will run it, so the capability lands with your team, not just our code.
Support & optimisation
Observability, alerting and continuous improvement keep the system fast, accurate and cost-efficient long after go-live.
Proof
Related work
Workforce analytics for Nestlé’s supply & demand planning
HR data marts on SAP feeding automated daily ingestions through AWS Glue and Databricks, on a medallion architecture, so planners could see available resource against production targets.
Marketing and CRM data unified across 20+ EMEA countries
A digital-transformation programme that consolidated marketing and CRM data across the region on Azure and Power BI, with a custom lead-management automation built on Power & Logic Apps.
One source of truth from 50+ scattered sources
Data strategy and cloud architecture on Google Cloud, ingesting 50+ sources through Stitch, modelled in dbt and surfaced to the CEO and Head of Product in Looker Studio.
FAQ
Questions buyers actually ask
Straight answers. If yours is not here, ask us on a call — we will tell you if we are the wrong fit.
Ask a questionWhatever your volumes actually need — we size honestly rather than to a vendor reference architecture. We have built Azure Synapse and AWS Glue pipelines for daily and real-time loads.
Yes — jobs are idempotent, restartable, tested and version-controlled, with lineage from source to serving and runbooks you keep.
Next step
Ready to find out what your data is worth?
Thirty minutes with a delivery lead, not a salesperson. You leave with a point of view on your highest-value use case and what it takes to ship it.