Scaling the Future: Lakehouse Architecture and Open Source Collaboration
VICTOR
BOTAN
Data Engineer Azure Data Platform
AD/01
Victor Botan has been working in the data domain for over 10 years, with the last 5 years focused on data engineering. Throughout his career, he has worked with a variety of tools and platforms, building and scaling data systems across diverse environments.
He is particularly interested in modern data architectures, open source technologies, and designing data platforms that are both scalable and practical for real-world use.
VICTOR
BOTAN
Data Engineer Azure Data Platform
AD/01
Abstract
Modern data platforms demand scalability, flexibility, and interoperability—capabilities that traditional architectures often fail to deliver. The lakehouse paradigm bridges this gap by combining the strengths of data lakes and data warehouses into a unified, performant system.
This talk explores how open source technologies like Apache Spark, Delta Lake, and Apache Iceberg enable scalable lakehouse architectures. It also highlights the strategic value of contributing back to these ecosystems—driving innovation, improving reliability, and shaping the future of data engineering. Attendees will leave with practical insights on building resilient data platforms and leveraging open source as a force multiplier.
