With over a decade of experience in data engineering and MLOps, Zoltan brings deep expertise in designing and implementing scalable data platforms and machine learning solutions. His career has involved setting up extensive data infrastructure, including clusters of over 100 nodes and pipelines managing petabytes of data. Zoltan's work with Fortune 500 companies has refined his skills in Databricks, Spark, and MLOps, enabling him to create and optimize data platforms that drive business intelligence and operational efficiency. He is passionate about solving complex data challenges and developing solutions that propel organizations forward.

In his previous roles, Zoltan has contributed to groundbreaking projects and innovations. From leading data consultancy initiatives to co-authoring notable industry publications like The Handbook of Data Science and AI, his career reflects a commitment to advancing data science and technology. His experience also includes developing key educational resources, such as the "Complete dbt Bootcamp" on Udemy, and managing global data teams and consultancy projects. Each of these endeavors has enriched his understanding of the dynamic landscape of data engineering and reinforced his dedication to fostering a robust learning environment.

As an instructor, Zoltan leverages his comprehensive background to provide valuable insights and practical knowledge in data engineering and machine learning. His teaching approach is rooted in real-world experience and a passion for solving data problems. Whether through direct training or innovative course development, Zoltan aims to equip learners with the skills and knowledge to excel in the ever-evolving field of data science.