





The assignment focuses on supporting the development and maintenance of modern data pipelines that enable the Digital Service Platform to deliver high‑quality, real‑time data solutions to airports. Airports generate large amounts of operational data, and transforming these raw datasets into reliable, actionable insights requires structured data processing, monitoring, and visualization. The challenge arises from the need to efficiently ingest, clean, and process data from various sources while ensuring accuracy, scalability, and consistency across the platform. The intern will explore how cloud technologies (particularly Microsoft Azure and Azure Databricks) can be leveraged to improve data quality and pipeline performance. The key research question is how to optimize data preparation and monitoring workflows so they better support dashboards, reporting, and operational decision‑making.