About

Kapil Jain is a Lead Big Data and Backend Engineer with over 9 years of experience in Java and Big Data technologies. He has a track record of creating data engineering teams from scratch and managing them to deliver assignments while communicating effectively with stakeholders. He is an accomplished software engineer with expertise in Object-Oriented Design and Analysis, and has extensive experience in the full life cycle of the software design process. Kapil is a detail-oriented engineer with a focus on product and service development. He possesses expertise in Object-Oriented Analysis/Design and Java Development, and is skilled at progressing from problem statement to well-documented design. He has a strong knowledge of Java, ranging from the introduction of the version to the adoption of the latest version. Currently, Kapil is working on a big data project for data analytics, leveraging technologies like Hive, Pig, Map-Reduce, Kafka, Flume, Spark, and GCP. He works with vision and purpose to solve problems using proper design patterns and coding standards, which are required for a test-driven approach. He is working on the application based on Agile Methodology, including requirement definition, prototyping proof of concept, design interface implementation testing, and maintenance. Kapil has experience in integrating CI on large-level complex applications. He has the ability to debug or find out the root cause that impacts the performance and functionality of the product. He is always looking to improve himself along with the current trends of the IT industry, thereby improving his technical skills in solving complex problems, adopting big data technologies, and more. In the past, Kapil has worked at Impetus, where he was involved in installing Hadoop Ecosystem components and configured multi-nodes fully distributed Hadoop clusters. He has experience in using Sqoop and Kafka as front channels for API or data ingestion in HDFS. He is responsible for managing data coming from different sources and deciding data cleansing approaches. He has written Pig scripts, Hive SQL, and put analytical results in Hbase for displaying reports. He has also written Map-Reduce programs in Java and using Spark in Scala. Kapil has been involved in data ingestion to data analysis complete life cycle. Kapil has an internship degree in Information Technology from IIITM. He has experience with various technologies such as Backend, Big Data, AI, Java, Spark, Data Engineering, Kafka, Software Engineer, Spring, GCP, Apache Hive, NoSQL, Hadoop, Microservices, SQL, Web,