About

Rohan Kapadekar is an energetic and hardworking Big Data professional with 4.3 years of experience in the IT industry. He is capable of performing responsibilities under extreme pressure and time constraints. He has hands-on experience with Big Data core components and Eco System including HDFS, MapReduce, Hive, Sqoop, Flume, Oozie, HBase, Pig, Core Java, and Azkaban. He has excellent understanding/knowledge of Hadoop Architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, DataNode, and MapReduce programming paradigm. Rohan has experience in configuring, developing, monitoring, debugging, and performance tuning of Big Data applications using Hadoop. He is focused on automation and integration and has completed load and performance testing of complex scenarios. He has good awareness in YARN, Apache Spark & Scala. He also has hands-on experience on the Linux environment along with Shell scripting. Rohan has experience in handling Enterprise Data warehouses-Development, Support, and Maintenance. He is currently working as a Senior Software Developer at Citi. He has previously worked as a Consultant (Big data-Hadoop developer) at PwC, where he was working for their insurance department. His main job was to analyze clickstream data and provide meaningful data to them after cleansing it so that they can perform ad-targeting to the existing as well as prospective customers. He has also worked as a Software Engineer-Big Data, Hadoop at Infosol Solutions. Rohan holds a Post Graduates Diploma in Advanced Computing from CDAC, Pune, and a Bachelor of Technology (B.Tech.) in Information Technology from Doctor Babasaheb Ambedkar Technological University. He completed his SSC from K.E.S. English Med. School. Rohan's tech stack includes Big Data, Software Engineer, Hadoop, HDFS, MapReduce, Apache Hive, SQL, Spark, test, DevOps, Integration, Scala, Java, Kafka, Web, and Research Scientist. He has a relevant experience of 9.86 years.