Sonali Sharma

Sonali Sharma is a skilled software engineer and data enthusiast with experience in solving interesting data problems at scale. She is a Master's graduate of Management Information Systems, General from the University of California, Berkeley - School of Information. Sharma has worked for prominent companies such as Netflix and Yahoo in roles such as Senior Data Engineer and Mail Monetization Data Engineer, respectively.

At Netflix, Sharma is responsible for working on personalization, building large-scale data pipelines and providing personalized recommendations for shows using technologies such as Spark, Scala, and Apache Flink among others. During her time at Yahoo, Sharma was part of the Mail Monetization and Audience Insights Engineering Team, where she designed and built data-driven products using Elasticsearch, Solr and Hadoop Ecosystem, among others.

Sharma has also worked as a Graduate Student Instructor and Graduate Student Researcher at the University of California, Berkeley, and as a CA Clarity Functional/Technical Consultant and Software Engineer at ANZ Bank.

In summary, Sharma is a data-driven individual with expertise in big data analysis, machine learning, algorithms, and data structures. She is skilled in Spark, Scala, Apache Flink, Pig, Hive, and other technologies that she leverages to sue data for decision making.