Christopher W.

Sr. Data Engineer @ Hometap

About Christopher W.

Christopher W. is a Senior Data Engineer with over a decade of experience in building and managing data systems. He has worked at IDEXX and Hometap, and has a strong background in programming languages and data visualization.

Work at Hometap

Christopher W. has been employed at Hometap as a Senior Data Engineer since 2022. In this role, he is responsible for developing and managing data systems that support the company's operations. His work focuses on leveraging data to drive business insights and improve decision-making processes. Hometap is based in Yarmouth, Maine, where Christopher continues to contribute to the company's data engineering initiatives.

Previous Experience at IDEXX

Before joining Hometap, Christopher worked at IDEXX as a Senior Data Engineer for eight months in Westbrook, Maine, from 2021 to 2022. During his tenure, he contributed to the development and optimization of data systems, enhancing the company's analytical capabilities and supporting various projects related to data management.

Career Background at Dell and Vrbo

Christopher has a diverse career background, having worked at Dell as a Project Consultant for 14 years from 2000 to 2014 in Austin, Texas. He later transitioned to Vrbo, where he served as a Senior Big Data Engineer for three years from 2017 to 2020. His roles at these companies involved managing data systems and implementing solutions to improve data processing and analysis.

Education and Expertise

Christopher studied at The University of Texas at Austin, earning a Bachelor of Arts (BA) degree in English and Philosophy. He also attended St. John's College. His educational background complements his extensive experience in data engineering. He possesses a solid working knowledge of statistics and machine learning, along with proficiency in programming languages such as Java, Python, and R.

Technical Skills and Proficiencies

Christopher is highly skilled in Scala and Spark development, which are essential for big data processing. He is fluent in several dialects of SQL, applicable in both relational and cloud/distributed contexts. Additionally, he has experience with various data visualization platforms, enabling him to present data insights effectively.

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