About

Jaydip Kulkarni is a highly skilled Java developer with over 8 years of experience in the field of big data ecosystem, distributed computing, and Actimize. He holds a Master's Degree in Advanced Computer Science from Newcastle University, UK. Jaydip has a strong understanding of distributed computing principles and has experience in processing large amounts of structured and unstructured data. He is proficient in Kubernetes and has used AWS EKS, AWS EBS, and has good control over services and persistent volumes. He has also built stream-processing systems using solutions such as Spark-Streaming and batch processing with Spark & Hadoop. Jaydip has a good understanding of the Kafka messaging service and excellent knowledge of the Actimize Platform. He has experience in AIS, RCM, and IFM. He is proficient in core Java and frameworks like Spring, Hibernate, and REST services. He has also solved various data science problems and has a good understanding of data structure and algorithms. Currently, Jaydip is working as a Tech Lead Software Engineer at Nice Actimize, where he is working on a new solution related to Actimize's Fraud Management Solution (IFM). He has also worked as a Senior Software Engineer at IVL and as an Associate Technology at NGX Lab. At NGX Lab, he worked on analyzing historical data with optimization techniques like Indexing, Partitioning, and Bucketing to increase the query performance. He also used HBase (Hadoop database) to store real-time data and extensively used SQOOP to retrieve data from various relational database systems. Jaydip has a Bachelor's Degree in Computer Science from Shivaji University. His tech stack includes Senior Software Engineer, Software Engineer, Spark, Java, NoSQL, ML, AWS, Kubernetes, SQL, Kafka, Hadoop, Big Data, Data Scientist, Cassandra, Spring, HDFS, and Apache Hive.