Srinivasa Sunil Chippada, MIS, MBA, PMP

Director of Data Engineering at Boats Group

Srinivasa Sunil Chippada has a diverse work experience spanning several roles and companies. Srinivasa Sunil is currently employed as the Director of Data Engineering at Boats Group since April 2023. Prior to that, they worked at Comcast as the Senior Principal Data Engineer from 2018 to 2023 and as the Lead Big Data Engineer from 2016 to 2018. Srinivasa Sunil also served as a Senior Data Engineer at Core IT Solutions, Inc from 2015 to 2016 and as a Software Engineer at John Deere from 2014 to 2015. Additionally, they worked as a Graduate Teaching Assistant at The University of Arizona in 2013. Earlier in their career, they held roles as a Software Engineer at IBM India Pvt Ltd from 2006 to 2012 and as an Associate Software Engineer at Megasoft from 2004 to 2006.

Srinivasa Sunil Chippada holds a Master of Business Administration (MBA) degree in Business Administration and Management, General from Gies College of Business - University of Illinois Urbana-Champaign. Srinivasa Sunil also possesses a Master's degree in Management Information Systems (MIS) from the University of Arizona, Eller College of Management. Furthermore, they hold a Bachelor of Engineering (BE) degree in Computer Science from Osmania University.

In addition to their formal education, Srinivasa Sunil Chippada has obtained several certifications. These include a Value Chain Management Specialization from Gies College of Business - University of Illinois Urbana-Champaign, obtained in July 2022. Srinivasa Sunil has also completed various online courses on topics such as Global Strategy, Managerial Accounting, Data Analytics, Financial Statements Analysis, Marketing Strategy, Entrepreneurship, Financial Management, Corporate Finance, and Creativity Toolkit from institutions like Coursera. These certifications were obtained between April 2021 and July 2022, indicating their commitment to continuous learning and professional development.

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Timeline

  • Director of Data Engineering

    April, 2023 - present