Tom Mac Donald
About Tom Mac Donald
Tom Mac Donald is a Data Engineer with a background in Applied Mathematics and Economics. He has worked in various roles across multiple companies, showcasing expertise in data analysis, machine learning, and data security.
Work at CrowdStreet
Currently, Tom Mac Donald serves as a Data Engineer at CrowdStreet, a position he has held since 2022. In this role, he focuses on data engineering tasks that support the company's operations and strategic initiatives. His responsibilities include collaborating with various teams to ensure data integrity and availability, as well as contributing to the development of data-driven solutions.
Education and Expertise
Tom Mac Donald holds a Bachelor of Arts (BA) in Applied Mathematics from Queens College, which he attended from 2010 to 2012. Additionally, he earned a Bachelor of Arts (BA) in Economics from Stony Brook University, where he studied from 2003 to 2007. His educational background provides a strong foundation in quantitative analysis and data interpretation, which are essential skills in his field.
Background
Before joining CrowdStreet, Tom Mac Donald accumulated extensive experience in various roles related to data and software engineering. He worked at the NYC Department of Finance as a Computer Programmer/Data Analyst from 2016 to 2019. He also held positions at Garmin, Winick Realty Group, Blackhawk Network, and dv01, where he developed skills in programming, data analysis, and project management.
Achievements
Throughout his career, Tom Mac Donald has demonstrated expertise in deploying machine learning models using AWS Sagemaker and containerizing them with Docker. He has developed custom data extractors using the Singer.io framework and managed Azure Data Factory pipelines. His work in implementing role-based security in Snowflake highlights his commitment to data security and compliance.
Leadership and Collaboration Skills
In his professional roles, Tom Mac Donald has showcased strong leadership and collaboration skills. He has managed a junior data engineer and collaborated with stakeholders across various executive departments to address their data needs. His experience in administering Looker projects and dashboards also reflects his capabilities in data visualization and business intelligence.