Data Engineering

An interactive engineering workshop focused on architecting, monitoring, and optimising complex data orchestration flows using the Prefect ecosystem to eliminate structural data pipeline vulnerabilities.

European iteration of the technical tutorial delivering a foundational look at orchestrating resilient workflows, handling automated task retries, and deploying persistent local MLOps dashboards.

A fundamental technical guide showcasing how to significantly streamline event-driven architectures and message queuing systems using Python alongside serverless Kafka infrastructure.

A technical tutorial demonstrating data pipeline orchestration using Prefect. Covers migrating standard scripts to decorated sub-flows, setting up external cloud storage queues, and standardising telemetry logging boilerplate.

A research lecture showing how a volunteer team mapped out the UK Companies House beneficial ownership registry using open-source neo4j graph structures to flag cyclical loops, fake shell addresses, and corporate corruption.

Early data engineering presentation mapping 4.6 million public UK business entries into a graph database to identify system leaks, data validation flaws, and illegal circular control frameworks.