About

Onkar Pathak is an experienced Data Engineer with a passion for developing applications that interest him. He has a diverse background in building applications across various domains, with a particular interest in distributed systems and event-driven applications. Onkar is always looking to write good code and learn something new, and he is open to discussing coding, traveling, and projects that make the world a better place. Currently working as a Data Engineer at Quest, Onkar is a consultant to IKEA Digital Group, where he is engaged in the retail fulfillment domain for data/digital transformation of existing platforms. He is responsible for designing and developing data repositories/warehouse/lakes for advanced analytics solutions in Google Cloud Platform. Onkar has experience with a range of technologies, including Apache Beam, Google Dataflow, EMR, Cloud Spanner, CI/CD, Microservices, Java, Python, and the Big Data ecosystem. Prior to his current role, Onkar worked as a Data Engineer at ThoughtWorks Technologies India, where he was involved in the design and development of batch and streaming data pipelines using Apache Spark, AWS, Google Cloud, Apache Kafka, Apache HBase, and Apache Hive for Citi Bank. He has also worked as a Big Data Platform Engineer at Quantiphi Inc., where he gained development experience on AWS Cloud Platform, Google Cloud Platform, Big Data Stack Apache Spark, Apache Hadoop, MapReduce, Hive, Java, and Python 3.0. Onkar holds a Bachelor of Engineering degree in Computer Engineering from the University of Pune, where he graduated in 2014. He has a broad range of technical skills, including Data Engineering, AWS, Spark, Java, Big Data, Backend, Kafka, UI, Python, CI/CD, Microservices, Software Engineering, ETL, Flask, Neo4j, Apache Hive, Hadoop, GCP, NoSQL, SQL, Cassandra, HDFS, Bamboo, Apache Airflow, MapReduce, Kubernetes, Docker, Elastic Search, and Search. With 8.87 years of relevant experience, Onkar is a skilled Data Engineer with a strong track record of success.