Tom

• Modelling and developing semantic models and Power BI reports on Databricks Lakehouses • Consulting in Power BI best practices for governance and CICD as well as Lakehouse data modelling • Developing (near)-real time data platforms utilizing Spark structured streaming and graph calculations in Synapse and Databricks incl. the development of ETL data pipelines and notebooks • Modelling and developing data models for consumption in Power BI and Celonis • Consulting on architecture and tech stack in regard to analytics data platforms, e.g. Lakehouses in Azure Databricks and Synapse • Microsoft Certifications: Microsoft Most Valuable Professional Award 2025 (MVP), Microsoft Certified Trainer (MCT), DP-600 (Fabric Analytics Engineer), DP-700 (Fabric Data Engineer)

• Expanding Agilitek’s cloud solution from AWS to Azure • Enhancing ETL flows in AWS and reducing AWS RDS cost • Implementing meta-steered ETL in Snowflake

• Building scalable and meta-driven ETL pipelines in Azure Data Factory and Databricks • Maintaining and updating Virtual Machines in Azure and Virtual Desktop Infrastructure in VMWare

• Designing and lead developing EDW solutions in Azure using Azure SQL, Synapse, Data Factory, Analysis Services (Azure & on-prem), Azure Functions, Azure VNet, Azure Purview, Power BI Premium • Gathering and validating business requirements and translating them into data models (Inmon & Kimball) • Creating reports and dashboards in Power BI (Pro & Premium) and SSRS • Building Big Data platforms (Lakehouse) using Delta, Azure Databricks, Python, Spark, Hadoop • Working agile in Azure DevOps, setting up CI/CD pipelines and automated test runs • Establishing data governance, incl master data management, data catalogs, organizational access design • Leading and mentoring junior consultants both during client deliveries and internally • Taking several Azure and Microsoft certifications: MCSA, MCSE, DA-100, AZ-500, AI-100, AZ-104