Testimonials

  • Pinned
    the 1:1 mentorship experience has been transformative, and I cannot thank you enough for your dedication, time, and expertise. Your mentorship has not only enhanced my data engineering capabilities but has also motivated me to continue learning and exploring new horizons within the field.
    Naga Pradeep Dhanenkula
  • Pinned
    First of all, I want to express my gratitude to Xinran for her immense patience with my numerous questions. I truly appreciate how she breaks down the data modeling interview approach by providing clear examples. The 1:1 mentorship I've received from her has been incredibly informative and valuable.
    Krupali Patel
  • Pinned
    I had the pleasure of engaging in a highly enjoyable mentorship experience with Xinran. Her guidance and expertise have proven invaluable in optimizing my resume and preparing me for Data Engineering Interviews. I am genuinely grateful for her dedicated assistance, and I truly cherish our engaging conversations. I highly recommend her as a mentor!
    Shriyanshi Shikha
  • Pinned
    I loved meeting with Xinran! Xinran came completely prepared to the session with notes about my interests and flew through topics at a quick pace to make use of time, while also making everything manageable. I learned something new about DE while also learning about what kind of roles may be best fit for me at the moment.
    Emily Baytalsky

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Ratings and feedback

4.9/5
92 ratings
78
Testimonials

About me

Xinran is a Senior Data Engineer with over 7 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. She is also an active blog writer and the founder of Data Engineer Things, an online community dedicated to data engineering.