Maximillian Munits
About Maximillian Munits
Maximillian Munits is a Big Data Engineer with extensive experience in building scalable data pipelines. He has worked for various companies including QA Consultants, Evertz, BenchSci, and currently Semios, and holds a Bachelor of Science in Computer Science from York University.
Current Role at Semios
Maximillian Munits currently serves as a Big Data Engineer at Semios, a position he has held since 2021. In this role, he specializes in building end-to-end scalable and robust data pipelines. His work primarily involves utilizing Google Cloud Platform, Python, and SQL to manage and analyze large datasets. This position allows him to leverage his technical skills in a dynamic environment focused on data-driven solutions.
Previous Experience at QA Consultants
Prior to his current role, Maximillian worked as a Technical Consultant at QA Consultants from 2020 to 2021. During his 10-month tenure in Toronto, Ontario, he contributed to various projects that required technical expertise and problem-solving skills. His experience at QA Consultants enhanced his ability to work in a consulting environment and develop tailored solutions for clients.
Experience at BenchSci
Maximillian held the position of Analytics Engineer at BenchSci for a period of 5 months in 2021. His role involved analyzing data to support the company's mission of accelerating scientific research. This experience further developed his analytical skills and understanding of data applications in the life sciences sector.
Educational Background in Computer Science
Maximillian Munits earned a Bachelor of Science degree in Computer Science from York University, specifically from the Lassonde School of Engineering. His studies spanned from 2013 to 2019, providing him with a solid foundation in computer science principles and practices. This educational background has been instrumental in his career as a data engineer.
Technical Skills and Specializations
Maximillian specializes in building end-to-end scalable and robust data pipelines. His technical skill set includes proficiency in Google Cloud Platform, Python, and SQL. He actively engages in continuous learning to keep up with the evolving technology landscape, focusing on industry best practices and state-of-the-art technologies to enhance his work.