We help organisations design, build, and scale reliable data platforms, analytics, and AI solutions — transforming complex data into decision-ready intelligence.
Start a ConversationMany organisations have data, dashboards, and reports — yet still lack confidence in the numbers they use to make decisions.
We work at the intersection of data engineering, analytics, and advanced analytics, helping teams move from fragmented, unreliable data to well-designed systems that business and technical stakeholders can trust.
Our focus is not just delivery, but building foundations that scale, adapt, and remain explainable as organisations grow.
Cloud platforms, lakehouse & warehouse design, ETL/ELT pipelines, CI/CD.
Power BI solutions, semantic models, executive dashboards.
Quality frameworks, schema consistency, trusted data products.
RAG systems, conversational analytics, narrative insights.
Pipeline Optimisation
Significantly reduced the runtime of a critical production ETL pipeline
by profiling Spark execution, redesigning partitioning and join strategies,
and tuning resource configurations—enabling more frequent refreshes and
faster downstream analysis.
Data Quality & Observability
Designed and implemented a data-quality scorecard that codifies
validation rules, surfaces anomalies, and routes alerts to accountable
owners—improving early issue detection and reducing time to triage
and remediation.
Data Augmentation & Enrichment
Built robust data-augmentation workflows, including controlled web
scraping and external enrichment, to expand analytical and training
datasets while explicitly tracking provenance, licensing, and
traceability.
Self-Service Data Access
Developed a secure MCP-based data access agent enabling non-technical
stakeholders to query and explore curated datasets using natural
language, while maintaining governance, performance, and reliability
controls.
Production-Grade Delivery Practices
Established end-to-end production practices including CI/CD for
notebooks and infrastructure (Azure DevOps), automated orchestration
with Azure Data Factory, and comprehensive monitoring and alerting for
job failures and SLA breaches.
We combine PhD-level analytical thinking with hands-on experience delivering complex, production-scale data systems.
We're comfortable operating in regulated environments and focus on building solutions that are robust, explainable, and designed to last.