About

Jithin K J is an experienced Big Data Developer with a demonstrated history of working in the information technology and services industry. He is skilled in Apache Airflow, Apache Spark Streaming, Apache Spark, and Big Data. Jithin has a strong engineering background with a Bachelor of Technology in Computer Science Engineering from the University of Calicut. Currently working as a Data Engineer at Prevalent AI, a security data science company, Jithin has also worked as a Senior Engineer for Big Data at QBurst and a Software Engineer at Gadgeon Systems. At Gadgeon Systems, he was responsible for the architectural design and implementation of a streaming billing platform that can process big data and provide reliable and accurate charges and invoices for clients using Scala, Apache Spark, Kafka, HDFS, Cassandra, MS SQL, Redis, git/github/gutlab, Docker, Kubernetes, Jira, TeamCity, Maven, and JUnit. He also implemented a price optimization project using Python, Flask, and MS SQL. Jithin has a total of 5.53 years of relevant experience in the field of Data Engineering, Big Data, Spark, Apache Airflow, Data Science, SQL, Software Engineering, HDFS, Redis, Kubernetes, Docker, Cassandra, Kafka, Flask, Python, and Scala. He is a detail-oriented professional with a passion for solving complex problems and delivering high-quality solutions.