talk-data.com
Speaker
3
talks
Throughout her career, Veronika has developed a diverse skill set that encompasses database administration, data engineering, platform architecture, data modeling, analytics, and leadership, making her a dynamic force in the industry. In her current role as the Vice President of Data, Veronika is responsible for designing the comprehensive data strategy for her organization. She applies a pragmatic approach to driving enterprise digital transformation and governing enterprise data. Simultaneously, Veronika champions innovation by enabling and supporting data engineering, analytics, and data science efforts, ensuring a balance between practical solutions and cutting-edge advancements. Veronika earned a master’s degree in computer software engineering from Brandeis University and a bachelor’s degree in biology from the University of Massachusetts, Boston. She is a Certified Data Vault Practitioner and a Snowflake Data Superhero. Veronika is not only a seasoned professional but also a dedicated mentor within the data community. Her commitment to education and collaboration extends to her role as a frequent speaker at various data conferences and events.
Bio from: Data Universe 2024
Talks & appearances
3 activities · Newest first
“Lego style” data teams, with their modular structure, can be capable of adapting to challenges faster, can facilitate quick feedback cycles, and better utilize individual skill sets to realize a shorter time to value.
Veronika joins us to discuss her strategy for optimizing time to value with a “lego style” team and how to unlock their true potential.
Most IT organizations face a constant balance between delivering approved projects (the top-of-mind, important tasks that management wants to launch) and fixing urgent problems (the ones that break systems in unexpected ways.) But there's a third bucket of issues—the long-languishing, forgotten, often boring tasks that turn into technical debt.
Take a step back from the Top Ten lists and join Saks' Veronika Durgin as she digs through the Bottom Ten: Neglected data engineering tasks that will come back to haunt you. This ""forgotten bucket"" can always be deferred, but the more you wait, the more time you'll spend on unplanned activities. And there are a variety of lenses with which you can look at it to better understand its impact on the organization, including the hidden costs of built-versus-buy, the need for a single definition of ""done"", identifying unexpected business dependencies; finding real data to conduct meaningful tests; and the environmental impact of your data.
Veronika Durgin joins me to chat about learning and adapting in a fast-changing world, handling vendors, and much more.
Veronika's LinkedIn: https://www.linkedin.com/in/vdurgin/
If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/