It's nice to meet you... Virtually!
I’m a 🇬🇧 UK-based Data Engineer with 3 years of experience building reliable data pipelines, cloud data platforms and analytics solutions. With an MSc in Big Data Analytics (Distinction), I work across Python, SQL, AWS, BigQuery, PySpark and Power BI to turn complex data into trusted, production-ready datasets and decision-ready insights.
View my projects
End-to-end customer-review analytics workflow processing 32,000+ app-store reviews with Python, NLP, BigQuery and Power BI to surface sentiment trends, recurring product themes and customer-experience signals.
Power BI
Python
Docker
BigQuery
Azure
SQL
Dockerised data engineering pipeline for extracting, cleaning and loading real-estate data into analysis-ready structures using Python, SQL and reproducible ETL practices.
Power BI
Python
Docker
SQL
Airflow
AWS
Applied NLP workflow for processing consultation responses, classifying themes, summarising submissions and producing structured outputs for public-sector analysis and decision support.
Power BI
Python
Docker
SQL
Airflow
AWS
James is a highly motivated and versatile professional who combines strong skills in AI, data analytics, and software development with a genuine focus on solving real-world problems. During our work on the AI-DRA project, he consistently showed initiative, adaptability, and the ability to turn research ideas and user feedback into practical technical solutions. He is quick to learn, easy to collaborate with, and brings both technical depth and creativity to his work.
James brought a thoughtful, user-centred approach to the AI-DRA project. He was proactive in developing the prototype, receptive to feedback from researchers and physiotherapists, and dependable when translating evolving requirements into working features. His ability to combine technical implementation with an understanding of accessibility and end-user needs made him a valuable contributor to the project.
James approaches data and research problems with curiosity, structure, and a strong willingness to learn. During the Bolsover project, he worked through ambiguity carefully, communicated his reasoning clearly, and refined his analysis in response to feedback. He combines analytical thinking with practical implementation skills, which allows him to move effectively from an initial problem to a clear and usable solution.
James is a collaborative and solutions-focused professional who brings together data, engineering, and product thinking. Having worked with him for a long period before his MSc, I have seen him take ownership of his work, communicate clearly, and keep iterating until the result is both technically sound and useful. This was the basis of the reference I wrote for him when the University of Derby requested one.
