Charlotte van der Scheun

Tech Lead Data Platform

Ahold Delhaize

Home2023 SpeakersCharlotte van der Scheun

Speaker Bio

Charlotte is a tech lead and engineer at Ahold Delhaize, where she leads a development team responsible for creating the data platform software for most Ahold brands in the EU.

Her interests focus on automating and standardising data solutions to enable data engineering teams.

Fun Fact: She adopted a dog from France two years ago and he still only speaks French.

Speaker Sessions


From Legacy To Unified: Streamlining Data Operations For Modern Business

30 mins
  • Track - InfoTech
  • Data
  • Software
  • Charlotte van der Scheun

    Tech Lead Data Platform

    Ahold Delhaize

As data becomes increasingly important for businesses, it’s essential to have a flexible and efficient platform for managing it. Join us for an informative session where we’ll share our experience of creating a unified data platform to streamline operations and improve data quality.

Instead of relying on multiple legacy data platforms, we created one platform to rule them all. Our platform provides standardized protocols for data ingestion, transformation, and aggregation, making it a product-as-a-service that’s fast, self-service, and cost-effective. By taking this approach, we allow data engineers to focus on making data available and improving data quality, which is essential for any business.

During this session, you’ll gain insights into our self-sufficient approach to deploying a data platform, and the importance of speed and cost-effectiveness when working with streaming data sets. This talk is designed to provide a thought leadership perspective on how to create a unified data platform that meets the needs of modern businesses.

Session Key Takeaways:

  • How to remove Remove bottlenecks by enabling the data engineers to make data available faster with a self-service data platform
  • Discover new approaches to deploying a data platform and pipelines using solely data configurations
  • The speed and cost-effectiveness when working with streaming data sets

This session is for you if…

  • You experience a bottleneck in making data available or trying to get access to data
  • Attendees who work closely with data

Book Your First Look Tickets Now Before The Price Increases!

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