About

Ankit Nandwal is a highly skilled Technical Specialist with over 7 years of experience in Big Data and Hadoop Ecosystem technologies. He has a track record of designing and implementing successful Big Data projects using Hadoop Ecosystem tools such as Spark, Kafka, Hive, Impala, Sqoop, HDFS, Sentry and Oozie. Ankit is proficient in developing solutions using Spark, Scala, Python and Java, and has experience in real-time streaming application development using Kafka, Scala and Spark. Ankit has a strong understanding of schedulers like Autosys, Oozie and TWS, and is well-versed in major Big Data tools such as HUE, Cloudera Manager, Cloudera Navigator, SQuirreL and Unravel. He has a good installation and configuration knowledge of Apache Kafka and Zookeeper with Kerberos authentication, and has experience in AWS Cloud technologies such as EMR, EC2, S3 and RDS. Ankit has domain knowledge of Banking and Financial Services, and is an expert in leveraging different ecosystem tools like SBT, Git, Bitbucket, SonarQube and Teamcity for implementing best practices and end to end Hadoop application development. He has attended a 3-month training program in Tata Consultancy Services for Big Data and Hadoop Ecosystem. Ankit has worked as a Sr. Big Data | Hadoop Developer at Cybage and a Big Data | Hadoop Developer at TCS, where he gained experience in designing and implementing Big Data projects using Hadoop Ecosystem tools, working with schedulers, and exposure to major Big Data platforms. He is proficient in Analysis, Design, Development, Testing, Documentation, Deployment, Integration, and Maintenance of applications, and has a proactive approach to learning and leveraging emerging technologies to enhance productivity. Ankit holds a Bachelor of Engineering (Honours) degree in Computer Science from Shri Vaishnav Institute of Technology and Science. He also holds a Higher Secondary School degree from ITMA Vidya Niketan and a High School degree from Holy Star High School. Ankit's technical skills include Big Data, Hadoop, Spark, Kafka, AWS, Scala, SQL, HDFS, Apache Hive, Integration, Python, Java, Jenkins, DevOps, Azure, GCP, and MapReduce. With 8.11 years of relevant experience, Ankit is a valuable asset to any team looking to implement Big Data projects.