Pallavi Phadnis

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.