Services
Three ways to work together
Strategy and architecture decisions, hands-on platform builds, and a productised SQL Server audit. Each track is scoped tightly so you know what you're getting.
Track 01
Development
Hands-on data warehouse and lakehouse work on the Microsoft stack - modelling, build-out, performance tuning, monitoring, and governance. Focused strictly on the data layer, not the BI tooling on top.
What I build
- → DWH development - Microsoft Fabric Warehouse, Synapse, Azure SQL
- → Lakehouse development - Databricks, Microsoft Fabric Lakehouse, Delta, Bronze / Silver / Gold
- → DWH modelling - Kimball dimensional, Medallion, Data Vault
- → OLTP & DWH performance optimization - query tuning, indexing strategy, schema design, partitioning
- → SQL Server monitoring - wait stats, query plans, alerting, observability
- → Governance implementation - row-level security (RLS), data masking, data management
Stack
- → Microsoft Fabric - Lakehouse, Warehouse, Data Pipelines
- → Databricks - Delta, Spark, Unity Catalog
- → Synapse, Azure Data Factory
- → SQL Server / Azure SQL - on-prem, IaaS, Managed Instance, Database
Track 02
Consulting
Decisions before code: shape the strategy, the architecture, and the way of working. Vendor-neutral, grounded in the Azure Well-Architected Framework.
Areas
- → Data & AI Strategy - business analysis, infrastructure audit, roadmap, KPI & cost framing.
- → Advisory - technology selection, second opinions, Lakehouse vs Warehouse trade-offs.
- → Architecture - reference designs aligned with the Well-Architected Framework, capacity & cost modeling.
- → Audit - governance, security, FinOps posture, compliance gaps. SQL Server audit is the productised flavour - see Track 03.
- → Training - focused, per-technology workshops for engineering and BI teams.
Engagement model
- → Fixed-scope review or short retainer
- → Written deliverable + walk-through call
- → Remote-first, EU/CET hours
Track 03
SQL Server Audit
A focused, productised review of an existing SQL Server estate. Severity-ranked findings with effort estimates - not a deck of vendor recommendations.
What's covered
- → Performance tuning - server tuning, query plans, index hygiene
- → HA/DR review - Always On AGs, log shipping, backup posture
- → Migration readiness - to Azure SQL MI, IaaS, or Fabric
- → Health check - configuration, security, observability
- → Capacity & licensing posture (cores, editions, downgrades)
Deliverables
- → Written report with severity-ranked findings
- → Prioritised remediation plan with effort estimates
- → Walk-through call with the team
Custom request
Don't see your engagement here? Book a call and describe what you need - stack, scope, timeline, constraints.
Not sure which one fits? Book a free 30-min call or send a few lines - I'll point you at the right starting place, even if that's not me.