Spark, Kafka and Endless Java Stack Traces: A Streaming Ingestion Case Study
Axel Blom
After an eclectic undergraduate journey with degrees in Life Sciences and Music Education, Axel Blom found his way into the data realm through a Master’s Degree in Applied Data Science. He has worked as a data consultant for Deloitte for several years, doing everything from patching up credit risk data models to validating ML models for detecting financial crime before settling into more engineering-heavy roles. For a year now he has been at UMC Utrecht working mostly on setting up and designing the data ingestion frameworks for their new Cloud dataplatform.
Grounding AI Agents in Your Data Model
Navigating Digital Sovereignty for Data & AI in the Cloud
Build Your Sovereign Data Platform with Xebia Daedalus
Ricardo Angel Granados Lopez
Ricardo Angel Granados Lopez is an analytics engineer specializing in data engineering and analysis. With a master’s in IT management and a focus on data science, he is proficient in using various programming languages and tools. Ricardo is skilled in exploring efficient alternatives and has contributed to multicultural teams, creating business value with data products using modern data stack solutions. As an analytics engineer, he helps companies enhance data value through data modeling, best practices, task automation, and data quality improvement. His current focus is on grounding AI agents in real data models, making sure what they draft can actually be trusted, not just plausible.
Daan Heikens
Darrel Ronald
Data Engineer at Xebia Data, specializing in architecting and building data platforms. With over 20 years of experience across professions, roles, and industries, I focus on solving the hardest challenges of clients. As an entrepreneur and Executive MBA, I work with clients to build integrated technical solutions using the most effective means.