Data Platform Engineering
Design, build, and modernise secure pipeline architecture across Azure Data Factory, Synapse, Fabric, Databricks, SQL, and multi-cloud estates.
- Integration architecture and production-grade pipeline design
- Quality controls, lineage, and observability
- Performance, reliability, and cost optimisation
Analytics & BI Systems
Decision-ready reporting ecosystems delivered with a platform-agnostic approach, combining semantic governance, model performance, and business-ready insight design regardless of tooling stack.
- Star schema and dimensional model design
- Semantic model architecture and governance across BI platforms
- Metric logic engineering and performance tuning (DAX/SQL/other engines)
- Dashboard rationalisation, UX redesign, and KPI consistency
Deep dive: Analytics delivery
AI Readiness
Prepare data estates for trusted AI and intelligent assistants with policy-aligned controls and production-ready data foundations.
- Data trust and suitability assessment
- Governance and risk-control patterns
- Production-readiness roadmap
Deep dive: AI readiness
Data-Driven Web Applications
Build web applications that put your data platform to work in day-to-day operations, stakeholder workflows, and customer-facing products.
- Application UX aligned to data workflows and decisions
- Robust frontend delivery integrated with data services
- Instrumentation and usage analytics for continuous improvement
Deep dive: Data-driven apps
Managed Services & Operational Support
Retained support across Azure cloud, Microsoft 365, data platforms, and operational technology services for teams that need accountable technical ownership.
- Azure governance, monitoring, and cost hygiene
- Microsoft 365 administration and support cover
- Operational runbooks, incident handling, and change control
Deep dive: Managed services