Jonathan Hotner

Jonathan Hotner

Assistant Data Modeler @ Government of Canada

About Jonathan Hotner

Jonathan Hotner is an Assistant Data Modeler at the Government of Canada, where he has worked since 2020 in Gatineau, Quebec. He holds an Ontario College Advanced Diploma in Computer Engineering Technology and Computing Science from Algonquin College and has experience in data transformation and collaboration.

Work at Government of Canada

Jonathan Hotner has been employed as an Assistant Data Modeler with the Government of Canada since 2020. He works in Gatineau, Quebec, where he has accumulated four years of experience in this role. His responsibilities include collaborating with a small team of data modelers and effectively communicating ideas to clients. His experience in this position has allowed him to develop skills in analyzing business needs and translating them into long-term data model solutions.

Education and Expertise

Jonathan completed his studies at Algonquin College of Applied Arts and Technology, where he pursued a dual focus in Computer Engineering Technology and Computing Science. He earned an Ontario College Advanced Diploma, completing his education from 2018 to 2021. During his academic career, he also completed three co-op terms with the Government of Canada, which provided him with practical experience in teamwork and collaboration.

Background

Jonathan has a diverse work history that includes positions in retail and landscape supply. He worked as a Yard Attendant at Kawartha Capital Landscape Supply Store in 2019 for four months in Peterborough, Ontario. Prior to that, he served as a Stock Clerk at No Frills from 2016 to 2018, also in Peterborough. His early work experience includes growing up in a family-owned greenhouse, which helped him develop a strong work ethic and problem-solving skills.

Technical Skills and Experience

In his role as an Assistant Data Modeler, Jonathan has gained experience in writing Extract, Transform, and Load (ETL) data transformation and mapping specifications. He is skilled in analyzing business requirements and translating them into effective data model solutions. His technical expertise is complemented by his collaborative work style, which involves engaging with clients and team members to ensure successful project outcomes.

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