01
Modern data platforms
Warehouse, lakehouse or both — designed around your workloads, budget and team, with a medallion architecture that keeps raw, cleaned and business-ready data apart.
Pipelines, warehouses & lakehouses
From scattered sources
to one trusted platform.
We design, build and run the pipelines and platforms that move data from your ERP, CRM, databases and files into a governed warehouse or lakehouse — ready for reporting, analytics and AI.
Sources
ERP
CRM
Databases
Files & APIs
Ingest
ELT / ETLSSIS · Fabric
Lakehouse
Bronze · raw
Silver · clean
Gold · business-ready
Use
Power BI
Apps & APIs
AI & ML
Sound familiar?
We've seen it before.
Data lives in silos
Every system holds its own version of customers, products and sales — and nobody can join them up.
Pipelines break silently
Overnight loads fail and nobody notices until a number is wrong in the morning meeting.
Reports wait on data
Refreshes take hours, so the business decides on yesterday's — or last week's — figures.
Legacy ETL nobody wants to touch
Years of undocumented SSIS packages and stored procedures that only one person understands.
End-to-end data engineering.
From source to insight.
02
ETL / ELT pipelines
Batch and incremental pipelines from ERP, CRM, databases, APIs and files — parameterised, tested and monitored, with clear alerts when something goes wrong.
03
Migration & modernisation
Move from legacy SSIS, on-premises warehouses or Synapse to Microsoft Fabric or the cloud — step by step, reconciling both systems until you switch over.
04
Data modelling
Dimensional and Data Vault models with shared dimensions, so every report counts customers, revenue and margin the same way.
05
Near-real-time data
Change data capture and streaming ingestion for the dashboards and operations that can't wait for the nightly load.
06
DataOps & 24/7 operations
Version control, CI/CD, data tests and monitoring — run by the same team that keeps enterprise databases up around the clock.
Built on platforms you already trust
We specialise in the Microsoft data platform and are just as at home on PostgreSQL, Oracle and AWS. We choose the simplest architecture that fits — not the one with the most moving parts.
Start small.
Scale with confidence.
01 · Assess2–3 weeks
Data platform assessment
We map your sources, pipelines and pain points, and come back with a target architecture and a prioritised roadmap.
What you get
- Current-state architecture and data-flow map
- Target architecture and tooling recommendation
- Prioritised roadmap with effort estimates
02 · Build6–12 weeks per phase
Platform build
We deliver in short, demo-able increments — the first sources and a first business-ready dataset within weeks, not quarters.
What you get
- Production pipelines and data models
- Automated tests, monitoring and alerting
- Documentation and hand-over sessions for your team
03 · RunMonthly
Managed data operations
We operate and evolve your platform under an SLA, so loads finish on time and new requests don't queue for months.
What you get
- 24/7 pipeline monitoring and incident response
- Monthly health and cost report
- Capacity for enhancements and new sources
Trusted with critical data since 2019
Our data engineering grew out of 24/7 database operations. The same discipline — monitoring, runbooks, on-call — keeps our clients' analytics pipelines running.
30+Enterprise clients
10Countries
24/7Global support
- Akbank AGBankingBusiness Intelligence (BI)
- Burger KingRestaurantsDatabase Management (DBA)Business Intelligence (BI)
- Gloria HotelsTourism & HospitalityBusiness Intelligence (BI)
- Memorial Hospitals GroupHealthcareData Science
- TKILACPharmaceuticalsData Science
Frequently asked questions
Should we move to Microsoft Fabric?
Not necessarily, and not all at once. Fabric is a strong fit if you already use Power BI and Azure and want one platform for engineering and reporting. Our assessment compares Fabric, Synapse and a SQL Server–based warehouse against your workloads, skills and budget before you commit.
We have hundreds of SSIS packages. Do we have to rewrite them?
No. Many packages can keep running while you modernise around them. We inventory them, retire what is unused and migrate the rest in priority order — reconciling outputs so nothing changes for report users.
Can the platform stay on-premises or in our own cloud tenant?
Yes. We build on-premises, on Azure or AWS, or hybrid — always in your environment and under your accounts, so you keep full control of your data and where it lives, including in-country hosting where BDDK (Turkey's banking regulator) or sector rules require it.
How long until we see results?
Usually within the first weeks of a build: the first sources are loaded, cleaned and modelled, and feed a real report. Larger platforms are then delivered in phases.
Who owns the code and documentation?
You do. Everything we build lives in your repositories and tenants, is documented, and is handed over in working sessions — whether or not you keep us on to run it.
Ready to Optimise Your Data Operations?
Let's discuss how we can help you achieve your data management goals