Faye Beatriz Tumaliuan
About Faye Beatriz Tumaliuan
Faye Beatriz Tumaliuan is a Big Data DevOps Engineer at Asurion, with extensive experience in AWS administration, ETL development, and data analytics.
Title and Current Position
Faye Beatriz Tumaliuan currently works as a Big Data DevOps Engineer at Asurion. She has been with the company since 2019, bringing her expertise in big data and DevOps to the role.
Previous Work Experience
Before joining Asurion, Faye Beatriz Tumaliuan gained substantial experience at several other companies. She worked at Teradata as an AWS Administrator from 2018 to 2019 in Manila, Philippines. Prior to that, she was a Senior ETL Developer at Manulife from 2016 to 2017. She also worked at Teradata in various roles, including Global Delivery Consultant from 2012 to 2016 and Junior Staff Technical Consultant from 2012 to 2013.
Education and Academic Achievements
Faye Beatriz Tumaliuan holds an impressive academic background. She earned a Master of Science in Business Analytics from Central European University, graduating with distinction, Summa Cum Laude, in 2018. She also obtained a Master’s Degree in Industrial Engineering - Information Systems from the University of the Philippines, studying from 2015 to 2021. Additionally, she achieved a Bachelor's degree in Computer Science, Cum Laude, from the University of Santo Tomas, where she studied from 2008 to 2012.
Professional Certifications
Faye Beatriz Tumaliuan holds several professional certifications that underscore her expertise. These include three levels of certification for Teradata 12, AWS SysOps Administrator certification, and ITIL certification.
Technical Skills and Expertise
Faye Beatriz Tumaliuan possesses a range of technical skills. She is proficient in scripting and programming languages such as Unix Shell, Powershell, Java, C#, and Python. Her data analytics expertise includes the use of tools like R and Rapidminer. Additionally, she has a solid background in database administration with a specialization in Teradata, as well as experience in big data administration using AWS.