Data engineering
Ingestion, transformations, data models and dependable data pipelines.
Cloud data platforms, pipelines and integrations.
I work across data engineering and software development. I keep things simple, easy to maintain and able to grow.
My work spans understanding the current setup, making technical decisions and implementing the solution.
Ingestion, transformations, data models and dependable data pipelines.
Lakehouse and analytics platforms, with monitoring, access controls and repeatable operations.
Technical choices that balance maintainability, reliability, delivery pace and cost.
In these case studies, I go through how to approach common data platform challenges, from modernizing legacy environments on Azure to building reliable pipelines.
My recent work has focused on Azure and Databricks, alongside a broader software engineering background.
Read the case studies or take a look at my background and experience.