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Kumar Sambhav
Senior Data Engineer Grab | Ex Expedia | Ex Flipkart
About
Kumar Sambhav is a highly skilled and experienced Data Engineer with 3.5 years of experience in working on a petabyte size data platform built using cloud and big data technologies for supporting machine learning experiments, data science models, business intelligence reporting and data exchange with internal and external partners. He has a Bachelor of Technology degree in Computer Software Engineering from Kalinga Institute of Industrial Technology, and an intermediate degree from City Montessori School. Kumar is proficient in several programming languages including Java, Python, Scala, and SQL, and has experience working with databases such as SQL, MongoDB, Postgres, InfluxDB, and CouchDB. He is also well-versed in Apache tools such as Spark, Kafka, Solr, Hive, Pig, Sqoop, Impala, Zookeeper, and Spark Streaming. Additionally, he has experience with DevOps tools such as Jenkins, Jira, and Git. Currently, Kumar is working as a Data Engineer II at Expedia, where he is building a platform to provide capabilities to business owners and analysts to set up their own efficient metric platform. He has developed an end-to-end metric platform which provides capabilities to analysts to create metrics powered on spark. He has also created pipelines in association with airline cancellation credit update policy architecture and configured CICD pipeline for deployment using Spinnaker and Jenkins and airflow for orchestration. Prior to his current role, Kumar worked as a Data Engineer at Flipkart, where he worked in the fintech department with Engineering and Data Science team for creating and scaling out features and insights for credit risk modelling and prediction algorithms, which help classify and predict the safe credit to be approved for an individual thereby reducing fraud. He was responsible for creation and populating PII data for bureau scores for whitelisting, and developed pipelines for both batch and stream processing powered by Apache Spark. He also optimized Superset visualization layer by introducing Redis cache, and automated deployment by use of Airflow run in pods managed by Kubernetes. Before Flipkart, Kumar worked as a Software Engineer at Bosch, where he was a data engineer of the Automove Electronics Team, designing and building PySpark and Spark Scala ETL services that let the user view and keep track of manufacturing units, which is a key factor in deciding the performance of a plant. He also provided real-time analytics to the end-users using the incoming streams from camel adapters, and introduced MES and MWS mechanism for scrap reduction in manufacturing plants, resulting in
Education Overview
• kiit kalinga institute of industrial technology
• city montessori school
Companies Overview
• grab
• expedia
• flipkart
• bosch
Experience Overview
5.6 Years
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