Cavin D.
About Cavin D.
Cavin D. is a Data Engineer based in Salt Lake City, Utah, with a background in Python development and data engineering. He holds a Bachelor's degree in Engineering and a Master's degree in Computer Science, and has experience in optimizing ETL processes and developing APIs.
Work at MarketDial
Cavin D. currently serves as a Data Engineer at MarketDial, a position he has held since 2019. He previously worked as a Junior Python Developer at the same company for 10 months in 2018. His work in both roles has taken place in Salt Lake City, Utah. In his current role, he has contributed to various data engineering tasks, including optimizing ETL processes and developing APIs.
Education and Expertise
Cavin D. holds a Master's degree in Computer Science from Indiana University Bloomington, which he completed from 2016 to 2018. He also earned a Bachelor of Engineering degree in Electronics from St. Francis Institute of Technology, studying from 2009 to 2013. Additionally, he has a background in Electronics from D.G. Ruparel College of Arts, Science & Commerce, where he studied from 2007 to 2009.
Background
Cavin D. has a diverse professional background, having worked in various roles prior to his current position. He was an Associate Instructor at Indiana University for four months in 2018. Before that, he served as an Assistant Manager at Godrej Infotech Ltd in India from 2014 to 2016. His early education was completed at Holy Cross Convent School in Mira Road, where he studied from 1995 to 2007.
Technical Contributions
In his role as a Data Engineer, Cavin D. has made significant technical contributions. He developed a Python3 compatible API to automate calls to a third-party client. He also re-designed a significant portion of production-level code to enhance logging, querying, and data retrieval processes. Additionally, he optimized ETL processes that involved large matrix computations, significantly reducing execution time.
Tools and Technologies
Cavin D. utilizes various tools and technologies in his data engineering work. He employs Alteryx for fetching demographic information as part of his data engineering tasks. His expertise includes optimizing ETL processes and working with Python to enhance data handling and automation.