Pim PhilippoSenior Data Engineer

Pim Philippo

EindhovenDen BoschNijmegenVenlo

Portrait of Pim Philippo

About

Senior Data Engineer with a strong background in Data Engineering, Data Architecture, and Cloud Engineering. Experienced in designing and building scalable data platforms and developing robust data pipelines. Combines technical depth with a pragmatic approach to transform data into valuable insights for the organisation. Enjoys working at the intersection of Data Engineering, platform development, Cloud Engineering and emerging technologies such as AI.

Experience

  1. Jan 2024 – Current

    Lead Data Engineer

    Everfield

    Responsible for the backend of the Everfield Data Platform, which serves more than 40 companies. In addition to an Integration and Information Layer, the platform features an extensive Common Data Model layer that consolidates data from various source systems, including ERP, CRM and PSP platforms such as NetSuite, HubSpot, Pipedrive and Adyen, as well as flat files such as Excel spreadsheets.

    The platform is built on the Azure stack and leverages Azure Databricks (Unity Catalog), Log Analytics, Azure Container Apps, Logic Apps, SQL databases, PostgreSQL databases, and various other resources. The entire infrastructure is managed via Infrastructure as Code using Terraform and Terragrunt, ensuring scalability, reliability, and efficient operations.

    Additionally, the team is working on AI use cases to improve the development process (agentic swarm) and to make the platform's data accessible to users through AI technologies such as LLMs, MCP servers, and agents.

    • Azure Databricks
    • Unity Catalog
    • Microsoft Fabric
    • Terraform
    • Azure DevOps
    • CI/CD
    • Azure Container Apps
    • Logic Apps
    • PostgreSQL
    • Log Analytics
    • LLMs & MCP
    • Claude Code

  2. Apr 2023 – Dec 2023

    Lead Data Engineer / Data Architect

    Ampleon (via Itility)

    Designing and building an Azure data platform for BI and advanced analytics use cases, including data ingestion, processing, and data modeling.

    Supporting the ingestion and processing of sensor data from complex machines (OT environment) to enable analysis and data-driven insights.

    • Azure
    • Azure DevOps
    • Data Modeling
    • Sensor / OT Data
    • BI & Advanced Analytics

  3. May 2022 – May 2023

    Lead Data Engineer

    Schunk Xycarb Technology (via Itility)

    Developed and managed an Azure-based data platform using Azure Data Factory and Azure Databricks for data ingestion and processing with Python, PySpark, and SQL.

    Implemented end-to-end data pipelines and monitoring with CI/CD via Azure DevOps and Azure Log Analytics, and delivered dashboards and reports in Power BI.

    • Azure Data Factory
    • Azure Databricks
    • Python
    • PySpark
    • SQL
    • Azure DevOps
    • CI/CD
    • Log Analytics
    • Power BI

  4. Oct 2021 – Apr 2022

    Data Analytics Lead

    Vion Food Group

    Led the Analytics Competence Center and was responsible for identifying and prioritising data analytics use cases and aligning with stakeholders from four Business Units.

    The team developed dashboards and datasets and supported Business Units in data-driven decision-making, leveraging an Azure-based data platform.

    • Azure
    • Dashboards
    • Stakeholder Management

  5. Oct 2020 – Sep 2021

    Corporate Business Analyst

    Vion Food Group

    Delivered various projects in the areas of data analytics, forecasting, and dashboard development using Power BI.

    • Power BI
    • Forecasting
    • Data Analytics

  6. Oct 2019 – Sep 2020

    Managing Consultant Financial Data Analytics

    vijzelaar.com

    Supported organisations in Financial Data Analytics by conducting analyses, developing use cases, and sharing insights through presentations and workshops.

    • Financial Data Analytics
    • Workshops

  7. Dec 2017 – Sep 2019

    Data Analyst – Financial Data Analytics

    KLM

    As a Data Analyst, I worked in an Agile product team with Data Scientists and Data Consultants on complex data analyses, developing machine learning models, data modeling, and process mining.

    • Machine Learning
    • Data Modeling
    • Process Mining

  8. Aug 2015 – Nov 2017

    Business Controller IT & Corporate

    Transavia

  9. Feb 2013 – Jun 2013

    Graduation internship Finance and Control

    Eurocross Assistance (Achmea)

Education

  1. 2013 – 2015

    MSc Accounting, Auditing and Control

    Erasmus Universiteit Rotterdam

  2. 2009 – 2013

    BSc Business Economics

    The Hague University of Applied Sciences

Skills

Data Platform Engineering Data Engineering (ETL/ELT & PySpark) Cloud Engineering Data Architecture & Data Modeling Lakehouse Architectures CI/CD Dashboarding & Data Visualisation AI Integration

Hobbies

Road cycling and mountain biking Rowing (indoor) IoT projects Vegetable garden

Contact

Want to talk data platforms, pipelines or AI? Feel free to reach out.

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