Data Engineering as a Service across Azure, AWS, GCP, Fabric, and Databricks.hello@nashthomasanalytics.com
Service Portfolio

Enterprise data engineering expertise, delivered as a service.

We combine enterprise architecture, delivery engineering, analytics intelligence, BI/Fabric implementation, and web product execution so your organisation gets one connected, accountable partner instead of fragmented vendors. We are tool-agnostic by design and astute in execution across the full data engineering lifecycle.

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
Quality Standard

Built for environments where failure is expensive

Our methods are tuned for complex, high-accountability organisations where quality, traceability, and operational continuity are non-negotiable.

What this means in practice

  • Clear architecture decisions and trade-off documentation
  • Transparent delivery governance and reporting cadence
  • Incremental releases with measurable outcomes
  • Handover plans that reduce long-term dependency risk