About

Vaibhav Gangwani is a Senior Data Solution Engineer with over 5 years of relevant experience in the field of data engineering and analytics. He has a strong background in Hadoop and Spark development, with expertise in Scala Spark, Hive, Sqoop, and pySpark. Vaibhav is also well-versed in AWS technologies such as EMR, DMS, Redshift, and S3, and has experience in data modelling and processing. Prior to his current role at razorpay, Vaibhav worked as a Data Engineer III at Walmart, where he gained experience in Big Data, Apache Spark, ETL, and Data Lake technologies. He also worked as a Data Engineer at Quantiphi, where he focused on Big Data, ETL, and Data Warehousing. Vaibhav's educational background includes a Bachelor of Engineering in Et&t from Govt Engineering College Bilaspur, as well as an Executive MBA in Project Management from Dayananda Sagar University. In addition to his technical skills, Vaibhav has experience working on Java Web Services Developer on REST Frameworks (Spring boot and Jersey), RDBMS (MySQL/Postgres) and NoSQL(Firebase) databases in remote and cloud environments. He is well-versed with development architecture and project setup. Vaibhav's tech stack includes Spark, Hadoop, AWS, Data Engineering, HDFS, ETL, Apache Airflow, Spring Boot, Spring, Apache Hive, MySQL, NoSQL, Postgres, Web, Scala, Java, Big Data, Databricks, and CI/CD. His expertise in these technologies makes him a valuable asset to any organization looking to leverage data for insights and decision-making.