Daniel van der Ende

Daniel is a principal data engineer at Xebia Data. He enjoys working on high performance distributed computing with Spark, empowering data scientists by helping them run their models on very large datasets performantly. He is, among other projects, an Apache Spark and Apache Airflow contributor and speaker at conferences and meetups. Daniel has extensive experience with productionizing data science on the Azure stack in combination with Databricks, as well as working with Google Cloud Platform’s Data and Machine Learning stack.