Matt Cooper

Data Engineer specialising in Microsoft Fabric and modern cloud data platforms, with experience designing metadata-driven solutions that improve scalability, governance, and operational efficiency. Combines hands-on technical expertise with strong communication skills, enabling complex technical concepts and architectural decisions to be presented clearly to both technical and non-technical stakeholders. Recognised for taking ownership of technical challenges, driving modern data engineering practices, and mentoring colleagues in cloud-native technologies.

Passionate about designing reusable, metadata-driven platforms that reduce complexity, strengthen governance, and accelerate data delivery. Focused on applying AI to enhance data engineering through intelligent automation, platform optimisation, and secure, scalable cloud data solutions.

Data Engineer - True Potential

(2025-03)

• Provided technical leadership in the proposal, design, and delivery of an enterprise-scale, metadata-driven Medallion Lakehouse architecture, establishing a reusable framework for metadata-driven ingestion, transformation, orchestration, and governance.
• Led the adoption of Microsoft Fabric capacity management practices, educating senior stakeholders on capacity planning, workload distribution, and performance optimisation to support the long-term scalability of the data platform
• Researched, designed, and evaluated AI-driven data transformation solutions to anonymise PII for third-party data sharing, considering data governance, GDPR compliance, pricing models, performance, and operational efficiency.
• Mentored engineers in PySpark, Microsoft Fabric, and cloud-native data engineering practices, promoting modern Spark-based processing and scalable data platform practices across the team.
• Collaborated with the MI team to design and deliver Microsoft Fabric reporting solutions using Power BI Direct Lake semantic models, OneLake, workspace security, and role-based access control (RBAC), enabling secure, governed, and high-performance self-service analytics.
• Implemented CI/CD processes using Microsoft Fabric Deployment Pipelines and Azure DevOps within a Scrum-based Agile environment, managing Git source control, project work items, and automated deployments across development and production environments.

Data Engineer - Serios Group

(2024-07 - 2024-12)

• Led the redesign and deployment of an ETL process on AWS, leveraging AWS Glue, S3, Lambda, Redshift, Event bridge and Step function enabling efficient and reliable data storage and retrieval for a large-scale organisation
• Collaborated with Data Solution Architects and Insight Analysts to develop and implement cloud data platforms and IoT analytics solutions on AWS and Azure.
• Created and maintained Infrastructure as Code (IaC) using Terraform
• Delivered detailed technical documentation and effectively communicated solutions to both technical and non-technical stakeholders.
• Coached and mentored graduates fostering their development and ensuring team alignment with organisational standards.
• Managed version control processes with GitHub, maintaining clean code practices, enabling collaborative development, and ensuring smooth integration across teams.
• Containerised and deployed data pipeline components using Docker and pushed images to AWS ECR, streamlining deployment and integration processes.
• Built strong client relationships by demonstrating technical solutions, addressing requirements, and adapting to changing business needs.
• Contributed to the successful management of workloads using Jira.

Data Platforms Developer - Mayborn Group

(2021-10 - 2024-07)

• Responsible for creating and maintaining ETL pipelines for variety of data sources, i.e. Marketing, Sales, PIM (product information), ensuring accompanying documentation is concise and up to date. Lead on data warehouse transformation project assisting on creation the architecture, utilising the available stack, and exploring alternatives i.e. Azure, AWS
• Utilised APIs to integrate data sources, including Amazon, Trustpilot, Facebook, for extracting campaign performance metrics, enabling comprehensive analysis of marketing initiatives and ROI assessment.
• Lead the Mayborn IBM planning application, encompassing development and administration in alignment with business and regulatory prerequisites, and provide end-user support
• Created documentation and relationship diagrams for processes to ensure best practice within the team.
• Collaborated with the Commercial Finance team to scope future enhancements, improvements, and administrative tasks for the maintenance and growth of existing systems.
• Utilised Python for developing solutions such as pricing models and translating user reviews, enhancing business insights and customer experience.
• Utilised Qlik Sense reporting for data visualisation and analysis.
• Worked with the sales team to develop and deliver a consistent template for customers allowing for quicker data ingestion and clearer reporting each month.
• Onboarded new customer data sources, creating ETL pipelines using power automate and Alteryx for scheduled loads.
• Setup and Managed AWS S3 and IAM roles to ensure secure and efficient data storage and access.
• Migration of marketing data from Adobe campaign to Bloomreach, ensuring the correct procedures for GDPR requirements were followed.

Accounts Assistant - P&G

(2019-06 - 2021-04)

• Created workflows in KNIME to produce reports from SAP for monthly management reports.
• Use of powerBI display current visualisation position of customer accounts for stakeholders.
• Responsible for Amazon Europe invoices and deductions, holding weekly calls with regional sales managers and communicating action points and timelines on a regular basis.
• Worked alongside the data team as SME to implement automated reminders to customers.

BSc (Hons) - Mathematics - Northumbria University, Newcastle (2012 - 2015)

A levels - Maths, Computing, Biology, Further Maths

GCSE - 9 A-C including Maths & English