Fayaaz Khatri
About Fayaaz Khatri
Fayaaz Khatri is a Data Engineer with a diverse background in analytics and data engineering, having worked for various companies including Delta Air Lines and Swish Analytics. He holds a Master of Science in Analytics from Georgia Institute of Technology and dual Bachelor's degrees in Economics and Mathematics from the University of Pennsylvania.
Current Role at Swish Analytics
Fayaaz Khatri currently works at Swish Analytics as a Data Engineer. He has been in this role since 2023, contributing to the company's data-driven initiatives. His responsibilities likely include developing data pipelines, managing databases, and ensuring data integrity to support analytics efforts.
Previous Experience in Data Engineering
Before joining Swish Analytics, Fayaaz Khatri held various positions in data engineering. He worked at Unstoppable Domains as a Data Engineer for six months from 2022 to 2023. Prior to that, he spent one year at Papaya in the same role from 2021 to 2022. His experience also includes a two-year tenure at Coyote Logistics as a Data Engineer from 2019 to 2021.
Analytical Background at Delta Air Lines and UPS
Fayaaz Khatri began his career in analytics at Delta Air Lines, where he served as an Analyst in Market Development for seven months in 2015. He then transitioned to UPS, working as an Analyst in Network Planning from 2016 to 2018 for two years. These roles provided him with a foundation in data analysis and strategic planning.
Educational Qualifications
Fayaaz Khatri holds a Master of Science in Analytics from the Georgia Institute of Technology, where he studied from 2019 to 2023. He also earned two bachelor's degrees from the University of Pennsylvania: a Bachelor of Arts in Mathematics and a Bachelor of Science in Economics with a concentration in Statistics, both completed between 2011 and 2015.
Experience in Business Intelligence Development
In addition to his data engineering roles, Fayaaz Khatri worked as a Business Intelligence Developer at Coyote Logistics for one year from 2018 to 2019. This position involved utilizing data to create actionable insights and support business decision-making processes.