Guangyu Li

Senior Data Engineer at Slyp

Guangyu Li has extensive work experience in various technology-related roles. Starting in 2007, they worked as a Technical Support Specialist at IBM until 2009. They then moved on to roles such as Database Developer and Database Administrator at Digital Alchemy from 2011 to 2014. Following that, they worked as a Technical Services Consultant at Wynyard Group from 2014 to 2015 and as a Database Developer/Analyst at IPG Mediabrands from 2015 to 2016. In 2016, they joined Insight Data Solutions as a Software Engineer. From 2017 to 2019, they worked as a Data Scientist at Macquarie Group. Guangyu then transitioned to Optus Sport, where they held positions as a Data Engineer from 2019 to 2020 and as a Senior Data Engineer from 2020 to 2021. They later joined Cevo Australia as an AWS Consultant from 2021 to 2022 before moving to their current role as a Senior Data Engineer at Slyp.

Guangyu Li completed a Bachelor's degree in Applied Mathematics from Sun Yat-sen University from 2003 to 2007. Guangyu then pursued a Master's degree in Business Information System Professional from Monash University from 2009 to 2011. Later, from 2015 to 2017, they obtained a Graduate Diploma in Data Science with a focus on Mathematics and Computer Science from the same university. Additionally, Guangyu Li has obtained several certifications over the years, including AWS Certified Security - Specialty from Amazon Web Services (AWS) in July 2022, Certified Data Vault 2.0 Practitioner from Learn Data Vault in March 2019, Deep Learning from Udacity in March 2019, MongoDB for Python Developers from MongoDB, Inc. in February 2015, Oracle Certified Associate from Oracle in April 2014, Mongo DB for DBAs from MongoDB, Inc. in March 2013, AWS Certified Data Analytics - Specialty from Amazon Web Services (AWS) in May 2021, AWS Certified Solutions Architect - Professional from Amazon Web Services (AWS) in June 2020, and AWS Certified Solutions Architect - Associate from Amazon Web Services (AWS) in October 2019.

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Timeline

  • Senior Data Engineer

    March, 2022 - present