I build data systems and analytics that turn complex data into actionable decisions.
My work sits at the intersection of analytics engineering and decision support, helping teams make better decisions with messy, real-world data. I’ve worked across programme operations, commercial, and marketing contexts, delivering clear, decision-ready insights.
- Translate ambiguous questions into structured analysis
- Build and maintain data pipelines and analytics systems
- Analyse performance across programme, commercial, and marketing contexts
- Deliver clear, decision-ready insights for non-technical stakeholders
- Business and performance analytics
- Analytics engineering & data pipelines
- SQL, Python, BI tools and data modelling
- Dashboards, reporting, and insight delivery
A production-style real-time data pipeline for streaming, processing, and visualizing live market data.
Tech: Python · Kafka · Spark · PostgreSQL · Docker · Power BI
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This project reflects my focus on building scalable, reliable analytics systems and real-time data workflows.
- Languages: Python, SQL
- Data & Analytics: Power BI, Excel, pandas
- Streaming & Processing: Apache Kafka, Apache Spark
- Databases: PostgreSQL
- Infrastructure: Docker & Docker Compose
I approach data work as a decision problem, not just a technical one.
- Clarifying the real question behind a request
- Working with imperfect, messy datasets
- Prioritising clarity and usefulness over complexity
- Delivering outputs stakeholders can act on quickly
- Analytics system reliability and performance
- Scalable data pipelines
- Business intelligence and reporting automation
- Data-driven decision support
Focused on building data systems that support real business decisions.