Technical perspectives on cloud infrastructure, modern data platforms, and the architecture decisions that matter.
How we architected a data platform for a UK health-tech company that processes sensitive patient data — balancing analytical power with UK GDPR compliance, data minimisation, and auditability across every layer of the stack.
Data EngineeringAn end-to-end data architecture built with AWS, Snowflake, and dbt, structured around the medallion architecture — moving data from raw ingestion to trusted, business-ready outputs in a way that is secure, maintainable, and ready to scale.
Data EngineeringHow we built a robust, real-time data lakehouse on Azure and Databricks — streaming ingestion, CDC, AI-powered sentiment analysis, and Medallion Architecture delivering 12x faster processing and up to 97% lower TCO.
Cloud InfrastructureA technical comparison of object, block, file, and analytical storage across the three major cloud providers — when to use each, and the trade-offs that matter.
Data EngineeringHow we designed and delivered a real-time inventory data platform for a UK retailer operating 45 stores and an e-commerce channel — eliminating stockouts, reducing overstock by 32%, and enabling same-day fulfilment decisions.
Data EngineeringHow we helped a UK fintech replace a fragile, manually-maintained ETL pipeline with an automated, tested, and observable modern data stack — reducing data incidents by 94% and cutting pipeline maintenance from 20 hours/week to under 2.