Peter Hurd

Peter Hurd has a diverse work experience spanning multiple industries and roles. Peter began their career in 2004 as a Research Assistant at the University of Vermont, where they were responsible for designing and executing computational experiments. In 2007, they worked as a Research Assistant and Marine Fisheries Observer at the University of Vermont and Saltwater Inc, respectively. From 2008 to 2010, Peter worked at the University of Vermont as a Graduate Researcher, Graduate Teaching Assistant, and Web Programmer. During this time, they implemented a dynamic database-driven site and utilized various technologies such as PHP, MySQL, JavaScript, and the R statistics package.

In 2010, Peter joined MyWebGrocer as a Junior Software Engineer, where they contributed to the development of the company's online grocery solution. Peter later transitioned to the role of Software Engineer and eventually became a Data Engineer, responsible for building and maintaining pipelines and reporting layers in Azure. Peter utilized technologies such as Azure Datawarehouse, Databricks, SSIS packages, SQL, Python, and bash scripts.

In 2020, Peter joined Polly (formerly DealerPolicy) as a Senior Data Engineer and later became the Lead Data Engineer. Peter'sresponsibilities included leading data engineering efforts and ensuring the smooth operation of data infrastructure.

Overall, Peter Hurd has a strong background in data engineering, software development, and research, with experience in various technologies and industries.

Peter Hurd received their education at the University of Vermont. Peter obtained a Bachelor of Science degree in Biological Sciences between 2001 and 2005. Later, from 2006 to 2009, they pursued a Master of Science degree in Computer Sciences at the same institution. In addition to their formal education, Peter Hurd also obtained certifications in various courses, including "Bayesian Statistics: From Concept to Data Analysis" from Coursera in February 2017, "Practical Machine Learning" from Coursera in January 2017, and "Regression Models" from Coursera in January 2016.