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I turn raw, messy data into real-time, AI-ready platforms that businesses run on.
My career started in 2019 writing SQL queries and stored procedures at Softinto, and I quickly realised the part I loved most was what happens before the dashboard: getting the data right. That curiosity took me to Algo, where for the last five years I've built the pipelines and platforms behind AI-driven supply chain products, working every day with Azure Databricks, Snowflake, Data Factory, dbt and Microsoft Fabric.
Teaching is what keeps me sharp. Since 2021 I've trained 100+ engineers one-to-one, from their very first SELECT statement to their first data engineering job, and 80+ of them now work in the field. Whether you need a data platform built or want to become the person who builds one, I'd love to talk.
I design end-to-end ELT, lakehouse and warehouse solutions, from Event Hubs streams and ADF ingestion to dbt models, Power BI and AI-ready data, all shipped with CI/CD on Azure DevOps.
Hands-on training for aspiring and working engineers. We cover everything from SQL to Azure, Snowflake, Databricks and Fabric, plus building with Gen AI, AI agents and Claude.
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Over seven years I've delivered 100+ pipelines, platforms and dashboards, from real-time streaming to the reports leaders open every morning. Below are six highlights across demand forecasting, inventory, healthcare, planning, fintech and retail. Each one was built end to end, starting with raw source data and going through ingestion and modelling to the final dashboard that decision-makers actually use.
Weekly SKU-level forecasts with confidence bands, built on Databricks feature pipelines and served from Snowflake. Try the region slicer, the dashboard is interactive.
Daily ERP and warehouse snapshots modelled into fill rate, weeks of supply and stockout risk. A heatmap shows every distribution centre and category at a glance.
Admissions, bed occupancy and length-of-stay data unified in Microsoft Fabric so hospital teams can plan beds and staffing.
Consensus demand plan modelled in dbt on Snowflake. A waterfall chart bridges the baseline to the consensus plan, and a variance matrix tracks actuals against plan.
Streaming payment events through Azure Event Hubs into Databricks, scoring each transaction for fraud risk and landing curated data in Snowflake for live monitoring of volume, approval rate and fraud alerts. Switch between 24h and 7d views.
Built on Walmart's public 45-store sales dataset: weekly sales, markdowns and store features ingested with ADF, modelled in Databricks and Snowflake, and analysed for markdown ROI, inventory turnover and slow-moving stock. Toggle holiday weeks to see how markdowns perform.
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Designed, maintained and improved cloud-based data platforms and production pipelines using Snowflake, Azure Databricks, Azure Data Factory, SQL and Python.
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This is the end-to-end pattern I use on most Azure and Snowflake projects. Click any stage to see what happens there and which tools I use.
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Consultancy, a data platform project or 1:1 training, send me a message and I'll reply within 24 hours.