Dan Weeks

Dan Weeks's Title

Dan Weeks holds the prestigious position of Chief Technology Officer (CTO) and is a Project Management Committee (PMC) member for Apache Iceberg. In his role, Dan is instrumental in guiding the strategic vision and technological advancements of the Apache Iceberg project. His leadership has been pivotal in driving the project's growth and adoption within the data engineering community.

Dan Weeks's Company

Dan Weeks is deeply connected with Apache Iceberg, an open-source table format for huge analytic datasets, which he co-created during his tenure at Netflix. Apache Iceberg is designed to handle petabyte-scale tables with features like ACID transactions and schema evolution, making it a vital tool for modern data platforms. Dan's vision for Iceberg is to establish it as an open standard for table formats with SQL behavior, enabling a more modular and productive data architecture.

Dan Weeks's Background

Dan Weeks has an impressive background in big data and data platform engineering. At Netflix, he led the Big Data Compute team, where he focused on addressing key challenges in data correctness, performance, and reducing costly distractions. His work at Netflix laid the foundation for the creation of Apache Iceberg, a project aimed at revolutionizing data management practices. Dan's contributions have been crucial in developing advanced features such as hidden partitioning, time travel, MERGE operations, branching, tagging, in-place table evolution, and metadata indexing.

Dan Weeks's Achievements

One of Dan Weeks's significant achievements includes the co-creation of Apache Iceberg while at Netflix. His work has greatly contributed to the development of features like ACID transactions and schema evolution, which are now essential components of Iceberg. Dan has also played a key role in expanding Iceberg's capabilities to solve complex data problems, such as hidden partitioning and time travel. His vision for Iceberg as an open standard for tables with SQL behavior highlights his forward-thinking approach and commitment to enhancing productivity through modular data architecture.

Dan Weeks's Expertise

Dan Weeks is an expert in big data platforms and data engineering. His expertise lies in solving critical issues related to data correctness, performance, and operational efficiency. Dan's contributions to Apache Iceberg, particularly in the areas of ACID transactions and schema evolution, demonstrate his deep understanding of the technical challenges and solutions in the field. He is dedicated to helping others be more productive with data platforms, leveraging his experience to drive innovation and best practices in data management.