Prashant Gaigavale

Senior Data Engineer @ Unify Consulting

About Prashant Gaigavale

Prashant Gaigavale is a Senior Data Engineer at Unify Consulting, where he has worked since 2022. He has extensive experience in data engineering and software development, having held positions at various companies including Bank of the West, Visa, and American Express.

Work at Unify Consulting

Prashant Gaigavale has been employed at Unify Consulting as a Senior Data Engineer since 2022. In this role, he focuses on developing and optimizing data pipelines to support data analytics and business intelligence initiatives. His expertise contributes to the efficiency and effectiveness of data-driven decision-making processes within the organization.

Professional Experience in Data Engineering

Prior to his current position, Prashant Gaigavale held various roles in data engineering and software development. He worked at Bank of the West as a Data Engineer from 2015 to 2018. He also served as a Software Developer - Consultant at Visa for six months in 2013. His experience includes a role as a Data Engineer at American Express from 2014 to 2015 and as a Consultant - Performance Engineer at NetApp in 2012. Additionally, he worked at Wells Fargo as a Senior Oracle DBA from 2007 to 2009.

Education and Expertise

Prashant Gaigavale has a strong educational background in technology and data science. He studied at the University of Mumbai, earning a Bachelor of Engineering in Instrumentation from 1991 to 1997. He furthered his education by completing the Artificial Intelligence Professional Program at Stanford University from 2020 to 2021. He also achieved a Computer Vision Nano degree from Udacity during the same period. He is certified as an AWS Machine Learning specialist since September 2021.

Technical Skills and Specializations

Prashant Gaigavale specializes in building data models, column mapping, and ETL pipelines tailored to meet data science and analytics requirements. He has a proven track record of optimizing Spark cluster performance to enhance pipeline processing efficiency. His work includes improving the performance of a data pipeline by 70% while managing 136TB of Clickstream data. He has developed operational KPIs for BI dashboards to aid data analysts and business decision-makers.

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