Thilina Gunarathne is a senior data scientist at KPMG - Customer Analytics, where he is responsible for everything related to Hadoop from cluster design and cluster maintenance to large-scale Hadoop application development. He has extensive experience in using Apache Hadoop and related technologies to perform large-scale data-intensive computations, including some of the world’s largest graph computations.
Thilina has contributed to several open source projects at the Apache Software Foundation as a committer and a PMC member. Previously, Thilina worked as a senior software engineer at WSO2 Inc., focusing on open source middleware development. Thilina received his BSc in CS&E from the University of Moratuwa, Sri Lanka, in 2006. He received his MSc and PhD in Computer Science concentrating on distributed and parallel computing from Indiana University, Bloomington, in 2010 and 2014 respectively.
Thilina has published several papers on extending the MapReduce model to perform efficient data mining and data analytics computations on cloud environments. He also co-authored Hadoop MapReduce Cookbook with Srinath Perera.