Experience
Senior Data Consultant (Data & AI) • Melbourne, VIC
Delivered data assurance solutions for a retail-media platform, focusing on data quality and governance.
- Architected and led delivery of the Automated Data Assurance Framework, replacing manual data verification with automated quality checks for the PlanIt retail-media product to unblock faster, lower-risk releases.
- Designed the framework so additional Cartology products can be onboarded through configuration rather than rebuilding, protecting the investment and shortening time-to-value.
- Established Cartology's tiered Data Quality Standard, adopted as the Definition of Done for releases, with a graduated rollout (observe → warn → block) letting teams adopt at their own pace.
- Enabled multiple engineering teams to build and test data changes in parallel without interference, removing a recurring source of release-day delays.
- Made platform health visible to non-engineers: test coverage, performance, and quality trends now queryable as metrics rather than locked in tribal knowledge.
- Modernised the development toolchain, eliminating environment drift between developer machines and production while rolling out engineering standards without disrupting in-flight work.
Data Engineer • Belfast, Northern Ireland
Driving data platform initiatives for a global manufacturing analytics company.
- Built and maintained the analytics data layer across three business domains, structuring source data into reporting-ready models teams could query directly with confidence.
- Designed a federated data governance model giving each business unit ownership of its data products while keeping standards consistent, scaling without bottlenecking on a central team.
- Built data-platform-cli, an internal tool standardising how teams launched new data products; setup time dropped from days to minutes and it became the engineering standard.
- Implemented attribute-based access controls across cloud environments, ensuring sensitive data reached only those with genuine need without slowing teams down.
- Led the migration of the data platform between cloud providers, preserving full functionality while optimising for cost and performance.
- Replaced a slow custom ingestion process with managed change-data-capture, removing latency in the data feeding business reports.
Data Scientist • Belfast, Northern Ireland
Delivered business intelligence and analytics solutions for public sector clients, focusing on customer insights and operational reporting.
- Built end-to-end analytics for Tourism Ireland's marketing function, from pipelines to Power BI dashboards, giving the team direct visibility into campaign performance without analyst tickets.
- Partnered with marketing stakeholders to define KPIs and dashboards that directly informed €2M+ in annual marketing budget allocation.
- Structured customer engagement data from Dynamics 365 into a reporting-ready model, making it queryable across the organisation.
- Modernised legacy analytics infrastructure for the Northern Ireland Appeals Service, materially improving report load times for case-management self-service analytics.
- Built interactive Power BI reports for legal and administrative teams, cutting ad-hoc reporting demand and freeing analysts for higher-value work.
Data Scientist • Belfast, Northern Ireland
Built machine learning pipelines and predictive models for a VR training simulation startup.
- Productionised the company's VR training analytics, moving experimental ML models into a reliable, automatically updating production service exposed via API.
- Identified the data features predicting VR training effectiveness, informing product decisions on what made training more impactful.
- Built and tuned predictive models and documented the workflow so the team could extend it independently.
Skills
Analytics Engineering: dbt Core, Elementary OSS, dbt_project_evaluator, dbt_expectations, dbt_utils, Great Expectations, SQLFluff, dimensional modelling (Kimball), slim CI, contracts, CDC, medallion architecture
Languages & Tooling: Python (Typer, Pydantic, FastAPI), Astral uv, SQL (BigQuery, Redshift, PostgreSQL, T-SQL), JavaScript/TypeScript, DAX, Bash
BI & Reporting: Power BI Desktop/Service, DAX, SSAS, SSRS, Azure Synapse Analytics, self-service analytics design
Orchestration & CI/CD: Apache Airflow (MWAA, Cloud Composer), Airbyte CDC, GitHub Actions, AWS CodePipeline
Cloud: GCP (BigQuery, Cloud Composer), AWS (S3, Redshift, Lambda, ECS, MWAA, SageMaker), Azure (Synapse, Data Factory, SSAS), Docker, Git
ML & Data Science: AWS SageMaker, Scikit-Learn, TensorFlow, feature engineering, ML pipeline CI/CD
Governance: Data Mesh, federated governance, ABAC IAM policies, metadata management, data quality SLAs, tiered quality standards, Definition-of-Done frameworks