About

Sunil Khuntia is a lead data engineer at Lowe's India with over 13 years of experience in the field of data engineering. He is passionate about designing and creating big data pipelines across various domains, including finance, healthcare, and retail. Sunil has a proven track record of leading and mentoring data engineering teams to deliver optimized data solutions. Sunil is proficient in big data technologies such as Hadoop, Spark, Druid, BigQuery, Hive, Hbase, Kafka, and Airflow. He also has experience working with GCP and is a Google Cloud Certified Professional Data Engineer. Sunil is skilled in programming languages such as Java, Scala, Python, and SQL. Prior to joining Lowe's India, Sunil worked as a Technical Specialist at Philips and a Senior Software Engineer at Fidelity. At both companies, he was responsible for working on various big data technologies such as Hadoop, Hive, Sqoop, Hbase, Java, Spark, and Scala. Sunil holds a Bachelor's degree in Electronics and Communication Engineering from the Institute of Technical Education and Research, Bhubaneswar. In addition to his technical skills, Sunil has experience working with Docker, Jenkins, and web frontend technologies. His tech stack includes data engineering, Spark, Hadoop, Apache Airflow, Big Data, Kafka, SQL, Java, Apache Hive, Python, Scala, GCP, software engineering, MapReduce, Docker, Jenkins, web, and frontend. Overall, Sunil is a skilled and experienced data engineer with a passion for creating optimized data solutions.