Konstantinos Saittis

Konstantinos Saittis has a diverse work experience. In 2019, they joined Navenio Ltd as a Senior DevOps Engineer, where they reduced deployment times for new sites by using automation jobs and minimized manual steps. Konstantinos experienced with automating jobs using custom Jenkins pipelines and implementing CICD for all applications. From 2016-2019, they worked at Elsevier as a Software Engineer III, where they learned about AWS, how to manage resources in AWS, automating processes using Jenkins pipelines, and system administration using bash. In 2016, they participated in the CodeRetreat Event hosted at Elsevier's offices and learned more about Test Driven Development. In 2015, they participated in the Startup Weekend event in Cyprus, where their team of 3 people took the 5th place. Their idea was to make a software that calculates the optimum diet using mathematical models. Finally, from 2013-2016, they worked as a freelancer, teaching Mathematics, Statistics, and Operational Research at High School and University level, as well as completing student projects on subjects related to Statistics, Operation Research, and Data Mining.

Konstantinos Saittis has an extensive educational background. Konstantinos obtained a High School Diploma from High School of Saint George in 2005. Konstantinos then attended the University of Patras, where they earned a Bachelor's degree in Mathematics in 2011 and a Master of Science in Statistics, Operational Research and Applications in Decision Making in 2015. In 2014, they also obtained a Seminar Certification from FX Careers in the Forex Industry. Additionally, they have obtained numerous certifications from institutions such as The Linux Foundation, A Cloud Guru, Udemy, KodeKloud, MongoDB, and Coursera Course Certificates. These certifications include Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer Course, JsonPath Query Language, Istio Hands-on for kubernetes, PostgreSQL High Performance Tuning Guide, Monitoring and Alerting with Prometheus, M101J: MongoDB for Java Developers, Java Programming: Arrays, Lists, and Structured Data, Java Programming: Principles of Software Design, Java Programming: Solving Problems with Software, Programming and the Web for Beginners, Regression Models, Statistical Inference, Exploratory Data Analysis, Getting and Cleaning Data, Reproducible Research, R Programming, and The Data Scientist’s Toolbox.