
Accomplished Data Engineer and Power BI Developer with 7 years of experience in business intelligence and Azure-based data solutions across various sectors. Expertise in Microsoft Power BI, Azure Data Factory, SQL Server, and Data Warehousing. Developed over 50 Power BI reports for 200+ users, ensuring effective stakeholder engagement and user support while mentoring junior colleagues and advocating for reporting best practices.
Working within the Data & Analytics team, delivering enterprise reporting, analytics, and Azure data platform solutions supporting operational and strategic decision-making across the University.
Key Achievements
• Developed, enhanced, and supported more than 50 Power BI reports and dashboards across multiple business areas.
• Supported over 200 business users through report enhancements, troubleshooting, training, and user adoption activities.
• Delivered Power BI training sessions and reporting guidance to business stakeholders.
• Mentored apprentice and junior technical resources, supporting their technical development and onboarding.
• Contributed to reporting governance, deployment standards, and Power BI best practices.
• Worked extensively with Microsoft Fabric, Power BI, Azure Data Factory, SQL Server, Azure Data Lake, and Azure Synapse Analytics.
Student Journey Transformation Programme (SJTP)
A major University transformation programme replacing legacy student systems and reporting solutions.
Responsibilities:
• Developed over 30 Power BI reports supporting operational and strategic decision-making.
• Designed semantic models, DAX calculations, KPIs, and interactive dashboards.
• Gathered reporting requirements from stakeholders and translated them into business-focused reporting solutions.
• Managed deployments using Power BI Deployment Pipelines across Development, Test, and Production environments.
• Supported testing activities, UAT sign-off, and production releases.
• Produced user guidance, technical documentation, and support materials.
PICS Apprenticeship Reporting Solution
Designed and implemented an automated Azure-based reporting solution for Apprenticeship reporting data.
Responsibilities:
• Developed Azure Data Factory pipelines to automate ingestion and processing of daily Excel file submissions.
• Implemented data validation, schema checks, duplicate detection, and automated failure notifications.
• Built Power BI reporting solutions and Data Marts to support operational reporting requirements.
• Improved reporting reliability, governance, and accessibility of apprenticeship data.
• Reduced manual reporting effort by approximately 4–5 hours per week.
Enterprise Data Integration & Reporting Platform (SSLive)
Designed and developed Azure Data Factory pipelines to automate the movement of Oracle data into a central SQL Data Warehouse.
Responsibilities:
• Developed scalable ETL pipelines supporting full-load and incremental-load processing.
• Implemented watermark-based incremental loading frameworks.
• Developed SQL Stored Procedures and transformation logic supporting enterprise reporting requirements.
• Implemented monitoring, validation, logging, and automated alerting processes.
• Worked closely with reporting teams and stakeholders to support reporting enhancements and data quality improvements.