Analytics Engineer specialising in building trusted data products, analytics platforms and decision-support systems.

I build production-grade analytics platforms and open-source data products that help organisations turn operational data into reliable decision-making systems.

My work focuses on analytics engineering, business intelligence, data modelling and cloud data platforms using SQL, Python, Azure and Power BI.

• Building SynthOps — an open-source synthetic operational data generator
• Developing production-style analytics engineering projects
• Designing semantic data models and decision-support dashboards
• Currently building with Azure, dbt and modern analytics engineering practices.

An open-source framework for generating realistic synthetic operational datasets for analytics, AI prototyping and decision intelligence.

Tech

• Python
• Pandas
• Faker
• YAML
• Open Source

An end-to-end Azure analytics project demonstrating production-style data engineering and business intelligence for adult social care.

Highlights

• Azure Data Factory
• Azure Data Lake Gen2
• Azure Functions
• Azure Synapse
• Power BI
• Python
• SQL

Azure • SQL • Python • Power BI • Azure Data Factory • Synapse • Azure Functions

• dbt
• Airflow
• Microsoft Fabric
• Databricks

• LinkedIn: https://linkedin.com/in/ibrahimajiboye92