Jignesh Shah
About Jignesh Shah
Jignesh Shah is a Software Engineer at Adobe, where he has worked since 2017. He has a strong background in data analytics and software development, with previous roles at ESPN, Yahoo, and Wells Fargo.
Work at Adobe
Jignesh Shah has been employed at Adobe as a Software Engineer since 2017. He operates in the San Francisco Bay Area and has accumulated seven years of experience in this role. His responsibilities include utilizing Agile and Scrum methodologies for software development, contributing to the company's innovative projects.
Previous Experience
Prior to his tenure at Adobe, Jignesh Shah worked at several notable companies. He served as a Systems Analyst at ESPN from 2006 to 2008 in the Hartford, Connecticut Area. He also held the position of Data Architect/Analyst at Longs Drugs during the same period in the San Francisco Bay Area. Following that, he was a Principal Engineer at Yahoo from 2010 to 2017, where he continued to develop his expertise in software engineering.
Education and Expertise
Jignesh Shah earned his MBA in Business Administration, Management, and Operations from Santa Clara University Leavey School of Business, studying from 2008 to 2009. He also holds a Bachelor's degree in Electrical Engineering from The Maharaja Sayajirao University of Baroda, where he studied from 1988 to 1992. His educational background complements his proficiency in various programming languages and tools, including SQL, PL/SQL, and Python.
Technical Skills
Jignesh Shah specializes in both RDBMS and Big Data technologies. He is experienced in using Oracle, MySQL, HBase, Hadoop, Hive, and Oozie. Additionally, he has expertise in building User Defined Functions (UDFs) using Java and Python. His technical skills extend to data analytics and data warehousing, enabling him to analyze and mine raw data logs effectively.
Professional Recognition
Jignesh Shah is recognized as a lateral leader and a respected mentor within his professional community. His ability to work collaboratively as a team member and his passion for designing large-scale reliable data systems contribute to his reputation in the industry. He has a strong background in data analytics with domain experience in retail, banking, internet, display advertising, and data analytics.