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Xinran Waibel

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talks

Founder - Data Engineer Things Community

Xinran Waibel is the founder of Data Engineer Things, a global community dedicated to creating and sharing learning resources for data engineering. She has over eight years of industry experience in designing and developing data systems. Currently a member of the Personalization Data Engineering team at Netflix, she builds data applications to power ML algorithms and product innovation. Prior to Netflix, Xinran was a Data Engineer at Confluent and Target where she leveraged big data technologies to enable data-driven decision making in the marketing and membership space.

Bio from: Big Data LDN 2024

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Xinran and Shachar are veteran Data Engineers, and will share secrets for building a more successful career in Data Engineering.

They will share real-world examples and stories, and talk about some of the biggest challenges and questions Data Engineers face in their career, including:

1. Why is it so difficult to get a seat at the table?

2. How to connect your work to your impact, and make your work more visible?

3. How to choose the right company for you - MAANG vs. small companies vs. startups?

4. What path should I take - individual contributor (IC) vs. manager/leadership?

5. What makes a great Data Engineer?