Speaker: Shriya Arora

Shriya is a data engineer at Netflix. She has been working on writing a framework on top of Spark batch processing that allows for a generic way of producing the various data-sets that are required for the machine learning algorithms that enable recommendations on the service. She is now exploring streaming as an alternate to batch ETL to process these data-sets so the models serving the recommendations can be trained more frequently in order to improve the personalized experience of Netflix users.