About

Shobit Agarwal is an accomplished Solution Architect with over 10 years of proven expertise across multiple business domains and technology areas. Currently working as an AVP (Big Data Hadoop | Spark Ecosystem | Cloud) at Wells Fargo, Shobit has a strong background in designing and implementing end-to-end Hadoop/Big data projects. He holds Certificates of Achievement on Hadoop, Hive, and MapReduce, and has worked on solutions like Hortonworks HDP, IBM BigInsight, and Google Cloud. Shobit has extensive working experience with HDFS, Hive, MapReduce, Tez, Spark, HBase, Cassandra, Sqoop, MapReduce, Storm, and Kafka. He is an expert with Oracle database programming language PLSQL and Database Administration, with a good understanding of MySql, MS SQL Server, and Teradata. He has also worked on designing mid-size to big-size OLTP database (Druid) and on performance optimization techniques on Hive, HBase, and Oracle. Shobit has delivered various trainings to team members on Hadoop, MapReduce, Hadoop Ecosystems, relational database, best practice, code reusability, new processes in application, and database design. He has worked in development methodologies like SDLC and Agile with scrum. Prior to Wells Fargo, Shobit has worked as a Technical Lead - Lead Data Engineer (Big Data Hadoop/Spark Ecosystem) at unitedhealth, a Big Data Engineer at kogentix, and a Senior Software Engineer- Big Data Hadoop (R&D) at xavient information systems. Shobit holds a Bachelor of Technology (B.Tech.) in Computer Science from uptu and a bachelors, bachelor of technology from st. george's college, agra. His technical expertise includes Big Data, Hadoop, Spark, MapReduce, HDFS, Java, SQL, Apache Hive, Senior Software Engineer, Data Engineering, MySQL, NoSQL, Cassandra, and Kafka. With 10.78 years of relevant experience, Shobit is a highly skilled and experienced Solution Architect in the field of Big Data.