About

Sambhav Gupta is a Big Data Specialist IT professional with over 9.7 years of experience in software development, designing and coding. He is currently working as a Data Engineer at GoTo Financial, where he is responsible for building real-time data platforms using Flink and Hudi file format on MinIO cluster for terabytes of data. Sambhav has extensive experience in the Big Stack stack involving Spark-Core, Spark SQL, and Spark Streaming (both Structured and Dstream based). He also has experience in Flink Stream processing Engine using Scala, Datastream API, Dataset API, Flink SQL, Flink Kubernetes managed operator Deployment, and Stateful stream processing. He has worked on machine learning libraries like TensorFlow, scikit, and notebook environments like Zeppelin, Jupyter, and Databricks. Sambhav is well-versed in mapping requirements, designing solutions, and troubleshooting complex software and application problems. He has experience working in teams using agile methodology and has expertise in version control tools like SVN, GIT, and Mercurial. He has also worked on Moq, Junit, and Mockito library for unit testing. Sambhav has in-depth conceptual knowledge around original object-oriented language like Smalltalk, Pharo. He has exposure to various designing principles including AOP, IOC, SOA. He has a keen interest in reading literature around electricity, rotating magnetic fields, electromagnetism, and stalwarts like Nikola Tesla, CP Steinmeitz, Oliver Heavyside, Michael Faraday, JJ Thomson. Sambhav holds a Bachelor of Technology degree in Computer Science from Bharti Vidyapeeth's College of Engineering, New Delhi, and an Executive Programme degree in Data Mining and Analytics from IIT Roorkee. He has also completed his schooling from Montfort School. Sambhav's tech stack includes Data Engineering, SQL, Spark, Scala, Kubernetes, Jupyter, Databricks, Scikit, Big Data, test, Docker, ML, TensorFlow, Hadoop, Software Engineer, and Senior Software Engineer. With his relevant experience of 9.20 years, Sambhav is a skilled data engineer with a passion for solving complex problems and building robust data platforms.