SQL Server & Data Engineering
Data architecture that holds up under real workloads.
Most business software is, underneath everything, a database with opinions. Getting the data layer right is the single biggest determinant of whether a system stays fast, correct and adaptable — and it is one of our deepest areas of expertise.
We work hands-on with Microsoft SQL Server and Azure SQL Database: designing schemas, writing and tuning complex T-SQL, and operating production databases that businesses depend on daily.
Database design & development
- Relational schema design and entity-relationship modelling
- Stored procedures, including complex allocation and fairness algorithms
- CTEs, window functions, deduplication and priority-ordering logic
- Rolling-window and time-windowed aggregation for reporting and automation
- Concurrency control with application locks, daily caps and contention handling
- Full-text search and faceted filtering
Performance & operations
- Query and index optimisation and performance tuning
- Azure SQL tier selection — serverless versus provisioned, auto-pause and vCore sizing
- Connection-resilience and retry handling in application code
- Backup, point-in-time restore and disaster-recovery planning
Data movement & quality
- Schema evolution and zero-drama data migration
- Data cleansing, reconciliation and backfill projects
- ETL-style processing and feed transformation
- Reporting queries, CSV exports and BI-ready datasets
- CRM, ERP, e-commerce, marketing and audit data architectures
Have a project in mind?
Tell us what you're trying to build — or untangle — and we'll tell you, plainly, how we'd approach it. No obligation, no hard sell.
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