Ashutosh Pandey

Ashutosh Pandey has a diverse and extensive work experience in the field of data engineering and management. Ashutosh has worked as a Lead Data Engineer at Caffeine, where they designed and implemented a data streaming pipeline using Spark and Kinesis, resulting in improved data processing efficiency. As a Lead Data Engineer at Meta, they implemented robust data quality checks, optimized data pipelines, and developed a metrics dashboard to monitor performance. Prior to that, they were a Senior Staff Data Engineer at Freedom Financial Network, where they collaborated with various teams to automate data analysis and visualization and leveraged technologies such as GCP, BigQuery, Kafka, and Python. At NetApp, Ashutosh served as a Principal Data Engineer and played a key role in defining data management and governance strategies. Ashutosh also implemented policies and processes to ensure data consistency and integrity. Earlier in their career, Ashutosh worked as a Solutions Architect at Infogain, specializing in data and analytics, and as a Solution Architect at LG Electronics, where they successfully implemented the Oracle EBS system.

Ashutosh Pandey completed a Bachelor of Arts (BA) degree in Political Science, Hindi Literature, and Ancient History from the University of Allahabad from 1991 to 1994. Later, they pursued a Master of Computer Applications (MCA) in Computer Science from the Indira Gandhi National Open University from 1998 to 2001. Currently, they are pursuing a Master of Science (MS) degree in Analytics from the Georgia Institute of Technology, with an expected completion in 2023.