About

Shikha Aggarwal is a seasoned Data Engineer with over 10 years of relevant experience in the industry. Currently working for Lyft, she has built ETL pipelines for ETA and Locations teams that see data inflow nearing 10B rows a day using Airflow and Spark. She is also adept at Natural Language Processing (NLP) and has authored a book on the subject. Prior to her current role, Shikha worked as a Data Scientist for Whisper App, conceptualizing, developing, and productionizing end-to-end auto-story creation given any web article. She was also involved with other projects like topic detection, whisper categorization, and whisper quality score. She has also worked as a Quantitative Developer for Akuna Capital, where she helped design and develop financial models to predict prices based on current and historical market data for trading. Shikha holds a Bachelor's degree in Computer Science from the International Institute of Information Technology (IIIT) and a Master's degree in Applied Mathematics from the University of Illinois. Her technical expertise includes Data Engineering, NLP, Spark, Apache Airflow, ETL, Data Science, Research Science, and Web. With her extensive experience and technical skills, Shikha is a valuable asset to any organization looking to build robust data pipelines and implement cutting-edge technologies.