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Pallavi Phadnis

Data Engineer at Netflix

Pallavi Phadnis is a Staff Data Engineer (L6) at Netflix, where she plays a pivotal role in the company's data engineering initiatives. With a strong background in computer science and information security, she holds a Master of Science in Information Technology from Carnegie Mellon University.4

Professional Background

  • Current Role: At Netflix, Pallavi specializes in data processing strategies, focusing on building efficient and reliable data pipelines. She has contributed to various projects, including discussions on applying different processing strategies for batch pipelines, which enhance scalability and fault tolerance.12
  • Previous Experience: Prior to her current position, Pallavi was involved in product data science and engineering at Netflix, where she shared insights into her career journey and the challenges faced within the data engineering field.3

Contributions to Data Engineering

Pallavi has been active in sharing knowledge within the data engineering community. She participated in Netflix's first Data Engineering Summit, where she presented on best practices for data processing patterns.1 Her work emphasizes the importance of generic abstractions to improve data handling capabilities, particularly for late-arriving data.2

Skills and Expertise

Pallavi is noted for her technical proficiency and detail-oriented approach. Her skill set includes:

  • Java
  • MapReduce
  • Data pipeline architecture

Overall, Pallavi Phadnis is recognized as a dedicated and technically adept engineer at Netflix, contributing significantly to the advancement of data engineering practices within the organization.

Highlights

Mar 3 · linkedin

One tip for data engineers from my experience - be friends with data platform teams :) From data infra engineers, you can gain a deeper understanding of how things work under the hood and also learn the bigger picture. It will not only help you in optimizing and improving your solutions but your feedback will also help them build a better platform leading to a bigger impact. In my experience at Netflix, the platform teams also have some of the most passionate folks who are always willing to help if you reach out. #dataengineering #dataplatform

Apr 2 · linkedin

Related Questions

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Pallavi Phadnis
Pallavi Phadnis, photo 1
Pallavi Phadnis, photo 2
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Experience

Staff Data Engineer at Netflix, since December 2017
Technical Lead at WalmartLabs, Member of Technical Staff at eBay Advertising, Senior Software Developer at AOL Advertising, Software Development Engineer at Accenture India Development Center

Education

MSIT in Computer Science, Information Security from Carnegie Mellon University; BE in Computer Engineering from University of Mumbai, Sardar Patel College of Engineering

Location

Greater Seattle Area