SQL Server Performance & Troubleshooting

A primary area of specialism is the diagnosis and resolution of performance, stability, and scalability issues within complex and often under-documented SQL Server environments.

• Query analysis and execution plan optimisation
• Indexing strategy review and remediation
• Investigation of locking, blocking, and concurrency behaviour
• TempDB, IO, and memory pressure analysis
• Refactoring of legacy stored procedures and T-SQL workloads

Work is typically delivered through focused technical assessments followed by clear, practical recommendations and implementation guidance.

Legacy SQL Server Estate Review & Stabilisation

Many organisations operate business-critical SQL Server estates that have evolved organically over time. Support is provided to assess risk, identify priority issues, and define pragmatic improvement pathways.

• Estate health checks and technical risk assessment
• Performance and scalability evaluation
• Identification and management of technical debt
• Modernisation and migration roadmap development

Azure Data Platform Advisory

Architectural and design guidance is provided for organisations operating SQL Server–based workloads in Azure or planning transition from on-premises platforms.

• Azure SQL Database and Hyperscale design reviews
• Hybrid architecture and migration strategy guidance
• Cost, performance, and operational trade-off analysis
• Support for teams adopting cloud-based data platforms

Databricks & Modern Data Platforms

For teams adopting Databricks and Delta Lake, guidance focuses on practical platform design, data modelling, and operational patterns, particularly where SQL-centric environments are transitioning to modern data architectures.

• Batch pipeline design using Delta Lake
• Data modelling and transformation frameworks
• Data quality, validation, and auditability considerations
• Integration approaches bridging SQL Server and Databricks workloads

Regulatory & Finance Data Pipelines

Extensive experience is held in the design and delivery of data pipelines within regulated financial services environments, where accuracy, auditability, and traceability are critical.

• Regulatory reporting data architecture and implementation
• Complex derivations, reconciliations, and control frameworks
• Auditability, lineage, and governance considerations
• Collaboration with Finance, Risk, and regulatory stakeholders

Engagement Model

Engagements are typically structured around clearly defined objectives, providing targeted advisory, technical assessment, or delivery support aligned to specific platform or performance challenges.

This model enables organisations to access senior-level expertise while maintaining continuity of ownership within their internal teams.