Data Systems
Infrastructure for organisations that need to collect, process, and act on information systematically. We design data architectures that balance analytical capability with operational simplicity.
Data Pipelines
Automated collection, transformation, and routing of information from multiple sources into structured, queryable formats.
Analytics Infrastructure
Business intelligence platforms that make organisational data accessible for decision-making without requiring technical expertise.
Database Architecture
Schema design, query optimisation, and infrastructure configuration for systems where data access patterns are known.
Observability Systems
Monitoring, alerting, and logging infrastructure that surfaces problems before they become emergencies.
Data infrastructure principles
- Architectures matched to actual query patterns and scale
- Data quality validation at ingestion
- Access controls appropriate to data sensitivity
- Documentation of lineage and transformation logic
- Retention policies aligned with regulatory and operational needs