Amol Kolhe
Data Engineer at EA
- Role
- Data Engineer Financial Analytics at 美国艺电公司
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Amol Kolhe
Assist in the ongoing design and implementation of our financial cloud data platform• Collaborate on the process of adoption, implementation of new tools, technologies and applications used to collect, integrate, analyze, and deliver actionable BI solutions to empower data driven decision making.• Provide insights to our Finance Systems and Analytics organization by quickly gaining a deep understanding of the business and how data flows throughout the organization.• Build close relationships with business stakeholders and act as a liaison between business users and data engineers to understand business issues and deliver scalable end-to-end solutions that ensure accurate business insights.• Explore and advocate self-service Analytics at EA.• Work with big data solutions, data modelling, understand the ETL pipelines and business intelligence solutions.• Interface with other technology teams and business subject matter experts to extract, transform, and load data from a wide variety of data sources.
Experience
Data Engineer Financial Analytics
Jun 2022 — Present · San Diego, CA, US
Assist in the ongoing design and implementation of the financial cloud data platform• Collaborate on the process of adoption, implementation of new tools, technologies and applications used to collect, integrate, analyze, and deliver actionable BI solutions to empower data driven decision making.• Provide insights to our Finance Systems and Analytics organization by quickly gaining a deep understanding of the business and how data flows throughout the organization.• Build close relationships with business stakeholders and act as a liaison between business users and data engineers to understand business issues and deliver scalable end-to-end solutions that ensure accurate business insights.• Explore and advocate self-service Analytics at EA.• Work with big data solutions, data modelling, understand the ETL pipelines and business intelligence solutions.• Interface with other technology teams and business subject matter experts to extract, transform, and load data from a wide variety of data sources.
Education
University of Mumbai
Bachelor of Engineering - BE, Computer Engineering
2010 — 2014
San Diego State University
Master of Science - MS, Information Systems
2018 — 2019
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