About

Vaibhav Patil is an experienced GCP Data Engineer with over 5 years of relevant experience in the information technology and services industry. He is highly skilled in SQL, Google Cloud Platform, Hive, Python, Google BigQuery, pub sub, Spark, app engine, cloud Run, and Shell Scripting. Vaibhav is currently working at quantiphi as a Data Engineer. In his role, he is responsible for designing, building, and maintaining scalable data pipelines that transform and integrate large volumes of data from various sources. He also works closely with cross-functional teams to ensure data accuracy and consistency. Prior to his current role, Vaibhav worked as a Software Engineer at datametica. In this role, he was responsible for developing and maintaining software applications using various programming languages and tools. Vaibhav holds a Bachelor's Degree in Information Technology from Government College of Engineering, Aurangabad. His technical expertise includes Data Engineering, SQL, Python, Spark, ETL, Big Data, GCP, Software Engineering, Apache Hive, HDFS, Data Warehouse, Docker, MySQL, Hadoop, and Flask. With his strong engineering background and experience in the latest technologies, Vaibhav is a valuable asset to any organization looking to build and maintain robust data pipelines and applications.