About

Prerna Singhal is a highly experienced Senior Data Engineer with over 9 years of work experience in the field. Currently, she is working at Publicis Sapient, where she is spearheading the data engineering project for a leading US based QSR chain. She has previously worked as a Senior Developer at Times Internet and Samsung, where she gained rich experience in the field. Prerna is responsible for creating ETL and dataflow pipeline using data infrastructure components such as tracking, AWS messaging queues, Real time & batch data processing using Spark, Python, Java, Cassandra, AWS. She has proficiency in Informatica for data quality checks. As part of her work, she had short stints across South Korea & Vietnam. Prerna is an AI & ML Hackathon enthusiast and loves to participate in DS and Algo hackathons. Apart from work, she is a full-time mother and a classical and Zumba dancer. Prerna holds an MCA degree from the Department of Computer Science, Delhi University, where she was ranked in the top 3 of the university. She also holds certifications in Deep Learning, Data Science & AWS Associate Developer. Her schooling is from DL. DAV Public School in Delhi. Prerna has worked with various companies in the past, including Publicis Sapient, Times Internet, and Samsung. She has built and maintained multiple android applications, and has used MVPP design pattern with Clean Architecture in the latest application. She has elementary knowledge of Kotlin. She has also handled business analytics, pattern analysis, predictive modelling and data visualisation in python for a client. Prerna's technical expertise includes Data Engineering, AI, AWS, ML, Deep Learning, infra, Spark, Python, Data Scientist, Cassandra, ETL, Android, Java, and Mobile. With her relevant experience of over 10 years, Prerna is a highly skilled and knowledgeable Senior Data Engineer.