Session
Advanced Spark for Data Engineers
Are you ready to take your Spark skills to the next level? This one-day, hands-on workshop is designed for data engineers who want to master advanced Spark techniques and build scalable, high-performance solutions. Whether you’re working with Databricks, Fabric, or both, this training will empower you to move beyond the basics and tackle real-world challenges with confidence.
By the end of this workshop, you will be able to
- Write clean, modular Spark code with reusable functions and dynamic transformations.
- Apply advanced coding techniques to handle schema evolution, complex file formats, and secure workflows.
- Manage secrets effectively, integrating sensitive credentials seamlessly into Spark pipelines.
- Optimize and tune Spark jobs, understanding internal execution plans to maximize performance.
- Utilize advanced Databricks features, including Unity Catalog, Auto Loader, Repositories, and Databricks CLI & DBConnect, to streamline development and governance.
This workshop is designed for
- Data engineers with foundational Spark knowledge who want to expand their expertise.
- Professionals building ETL pipelines, enabling real-time analytics, or processing large-scale datasets.
- Engineers working in Databricks, Fabric, or similar platforms, seeking advanced skills to enhance scalability and performance.
Let’s elevate your Spark skills and transform the way you approach data engineering. Join us for this intensive workshop and unlock the full potential of Spark!

Zach Stagers
Head of Data Engineering at Advancing Analytics
Kirkby Lonsdale, United Kingdom
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