About

Nitin Poddar is an experienced technical leader with over 11 years of success in the software and data industry. He has a strong focus on software designing and development, data strategy, data modeling, and product development. Nitin is a persistent top performer, decision-maker, and passionate about bridging the gap between technology and business, leveraging cutting-edge technology. Nitin's skillset includes proficiency in Java, Scala, Scala Akka, Python Shell-Scripting, Groovy, Gherkin, Gremlin, Android SDK, and RxJava. He also has expertise in big data technologies such as Apache Spark, Apache Kafka, HDFS, and Hive. Nitin has worked with databases such as Neo4j, Amazon Neptune, JanusGraph (Graph), Cassandra (Columnar), Elasticsearch (Document), Dynamo DB (Key-Value), MS SQL, Postgres, and SQLite (Relational). He is also well-versed in Amazon Web Services such as S3, Athena, EMR, EC2, SQS, Lambda, Neptune, IAM, SNS, VPC, RDS, ELB, Redshift, and Glue. Nitin has experience working with third-party tools such as IntelliJ IDE, Android Studio, Pycharm, POSTMAN, JMeter, MS SQL Studios, Git/GitHub, Stash, and JIRA. He has expertise in CI/CD tools such as Docker, Kubernetes, Helm, Rancher, Jenkins, and Octopus. Nitin has worked with tools and frameworks such as Maven, SBT, Jenkins, Grafana, Prometheus, Graylog, Nginx, Selenium, TestNG, JUnit, and Mockito. Currently, Nitin is working as a Big Data Engineer at Amazon, where he is working on Amazon Prime Video in the data engineering space to help the business take data-driven decisions for marketing and expansion of products. In the past, he has worked as a Lead Software Engineer at Zeta Global and IgnitionOne. Nitin has a Bachelor of Technology degree in Information Technology from West Bengal University of Technology, Kolkata, and Heritage Institute of Technology. He has relevant experience of 12.79 years and is proficient in Big Data, Data Engineering, SQL, Android, Jenkins, Neo4j, HDFS, Selenium, Spark, Amazon Athena, CI/CD, Software Engineer, Senior Software Engineer, Scala, Kubernetes, Docker, Cassandra, Elastic Search, Kafka, Postgres, Web, and