About ShawFire Technology
Pragmatic data engineering for real businesses. We modernise platforms, fix performance, and get teams shipping—without the chaos or the cloud bill shock.
Our mission
Help SMEs move from on-prem SQL to an Azure-ready, cost-smart data platform—one valuable step at a time. No black boxes. No vanity projects. Just clean engineering, clear runbooks, and results you can measure.
Founder-led, hands-on
ShawFire is a boutique, founder-led consultancy with deep Microsoft stack roots. We’ve lived the on-prem world (SQL Server, SSIS/SSAS/SSRS) and the cloud world (Azure SQL/MI, ADF, Databricks, Functions, Power BI). That mix is why clients trust us to deliver incrementally—fixing the right bottlenecks, then scaling out with governance and CI/CD.
Credentials: Microsoft Certified Solutions Expert (MCSE) · Azure data engineering expertise · T-shaped in architecture, performance, and delivery.
Pragmatic
We deliver value in weeks. Pilot → prove → scale. No big-bang rewrites unless they’re truly warranted.
Cost-smart
Performance first. Right-size compute, fix slow SQL and pipelines, and keep the cloud bill honest.
Transparent
Clear designs, clean code, documented runbooks. You own the platform and the IP—not us.
Outcome-driven
Dashboards, SLAs, and KPIs. If we can’t measure it, we don’t call it done.
What we’re great at
- Data platforms & migration: SQL Server, Azure SQL/Managed Instance, Synapse SQL, lakehouse (Delta/Parquet), landing zones, IaC.
- Pipelines & integration: Azure Data Factory, Logic Apps, Function Apps, Databricks (Spark/SQL), canonical mapping, CDC, schema drift handling.
- BI & apps: Power BI semantic models, SSAS, SSRS, Power Apps/Power Platform, trustworthy analytics.
- Performance & cost: T-SQL tuning, indexing/partitioning, Spark optimisations, storage/compute right-sizing, observability.
- Governance & DevOps: data product ownership, quality rules, lineage, YAML CI/CD, environments, promotion flows.
Microsoft product names used under fair use/trademark guidance. For logos/badges, follow Microsoft brand rules or partner terms.
How we work
- Plan: discovery, risks, guardrails, and a cost model.
- Optimise: fix obvious bottlenecks in SQL/ADF/Databricks to avoid paying for inefficiency.
- Migrate: deliver by subject area with medallion layers and a semantic model ready for BI.
- Grow: monitoring, governance, and (when ready) safe AI/automation.
Recommendations
“We went from nightly failures to predictable pipelines in under a month. The cloud bill dropped and the team stopped firefighting.”
Alex P. — Head of Data, Retail SME
“ShawFire’s SQL tuning paid for itself. Queries that took minutes now finish in seconds, and our reporting windows are met.”
Sara D. — BI Manager, Health Services
“The lakehouse starter gave us a clean foundation—ingestion, medallion layers, CI/CD and runbooks. We could finally scale.”
Tom W. — CTO, Technology Scale-up
“Clear, pragmatic and fast. Governance that actually helps delivery—plus dashboards our execs trust.”
Priya K. — Operations Director, Not-for-Profit
These are representative quotes for layout—swap in real client names and stories as they’re approved.
Ready to modernise without the chaos?