About

Pooja Mistry is a highly skilled Data Engineer with over 6 years of experience in the field. Currently working at PayPal as a Data Engineer 2, Pooja has been involved in various Data Quality initiatives at the company. She has extensive experience in extracting, transforming, and loading structured and semi-structured big data to build data pipelines for analytics and reporting purposes. Pooja is known for her excellent debugging skills and analytics capabilities, which have helped her architect and design data pipelines for her clients. Pooja has exposure to Azure and GCP cloud platforms and possesses a basic understanding of Tableau and PowerBI. She is a data enthusiast who is always looking for ways to optimize data pipelines and improve data quality. Prior to joining PayPal, Pooja worked as a Senior Data Engineer and Senior Technical Specialist at IBM. During her tenure, she gained valuable experience in data engineering, big data, and cloud platforms. Pooja is a Bachelor of Technology graduate in Computer Engineering from Dharmsinh Desai University. Pooja's tech stack includes Data Engineering, Azure, SQL, Big Data, Spark, Hadoop, Python, Scala, GCP, Apache Hive, HDFS, and Kafka. With 6.78 years of relevant experience, Pooja is a highly skilled Data Engineer who is passionate about her work and always strives to deliver the best results for her clients.