Brisbane, Australia

Builds AI & Data Systems that deliver.

Data Engineer with 7+ years across Microsoft Azure, Databricks, Fabric/Power BI, AI analytics, medallion architecture, and governance.

AI Microsoft Azure Data Engineering Databricks Fabric/Power BI
7+ years turning raw systems into governed data products
6 Microsoft certifications across Azure, data, and AI
50% redundancy reduction delivered through process automation

Certifications

Validated across Azure, AI, analytics, and visualization.

Data & AI
Microsoft Solutions Architect Data Analyst AI Fundamentals Data Fundamentals Azure Fundamentals Microsoft Trainer Tableau Specialist Lean Six Sigma

Current focus

Modern data platforms for practical teams.

Nu-Pure Beverages

Data Engineer

Azure Synapse, Spark notebooks, Data Lake Gen2, Power BI models, Purview scans, CI/CD, and reliable medallion data products.

Monitor Deloitte

Specialist Lead

Led Azure and Databricks delivery, stakeholder workshops, data modelling strategy, Power BI enablement, and analytics training.

Schnitz, AI Australia, S2C, TCS

Data Engineering to Analytics

Built ingestion pipelines, dashboards, SQL warehouses, PySpark transformations, predictive analytics, Tableau, and VBA automation.

Career Timeline

Companies, roles, and the data systems behind them.

2014-2017

Tata Consultancy Services

System Engineer. SQL Server reporting, Tableau dashboards, regression analysis, and VBA automation.

2019-2020

S2C Professional Services

Data Analyst. SQL warehouse consolidation, predictive analytics, Tableau reporting, and data quality checks.

2020

AI Australia

Data Scientist. Azure architecture, Data Factory pipelines, Azure Functions, PySpark, and Power BI.

2020-2022

Schnitz

Data Engineer. Azure Data Lake, Data Factory ingestion, SQL integrations, and business dashboards.

2022-2023

Monitor Deloitte

Specialist Lead. Azure Synapse, Databricks, Power BI, data modelling, workshops, and stakeholder enablement.

2023-Present

Nu-Pure Beverages

Data Engineer. Synapse, Spark notebooks, Data Lake Gen2, Purview, CI/CD, medallion models, and Power BI.

Selected builds

Compact projects, visible outcomes.

Available for data platform work

Let's make the pipeline cleaner, faster, and easier to trust.

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