Summary
Preetika Taly is a software engineer with 11 years of experience building scalable big-data pipelines and production data systems, currently contributing to Google’s infrastructure work. She brings deep expertise in streaming and batch technologies—Kafka, Apache Storm, Hadoop ecosystem, BigQuery—and a strong background in ETL, data modeling and ML-driven analytics from prior roles at Sojern and Insight Data Science. Her work blends systems-level programming (C/C++, Java, assembly exposure) with high-level data tooling (Python, Hive, Pig, Postgres), enabling end-to-end solutions from ingestion to serving. Notably, she designed a Python framework to normalize 100+ advertiser data formats and led automation of company-wide financial reporting to significantly improve efficiency. Trained at Stanford in computer science and with an MS in electrical engineering, she pairs rigorous academic foundations with practical production experience in real-time geolocation and energy-management systems. Based in Sunnyvale, she combines curiosity for optimization with a track record of turning messy, heterogenous data into actionable analytics.
11 years of coding experience
10 years of employment as a software developer
Master of Science, Electrical Engineering, 4.0, Master of Science, Electrical Engineering, 4.0 at North Carolina State University
Bachelor, Electrical Engineering, Bachelor, Electrical Engineering at University of Mumbai
Computer Science, Computer Science at Stanford University
English, Hindi