Andrew Goss

Engineering Manager, Dataops at Interfolio

Andrew Goss has a solid work experience in the field of data engineering and analytics. Andrew is currently working as a Manager of Data Engineering & Analytics at Elsevier since December 2022. Prior to this, Andrew held various roles at Interfolio, including Manager of Data Engineering & Analytics, Staff Data Engineer, Team Lead, Senior Data Engineer, and Data Engineer.

Before their time at Interfolio, Andrew worked at Digitas North America as a Data Engineer and Manager of Media Systems & Technology. Andrew also gained experience as a Technical Consultant and Business Systems Analyst at QuickPivot, where they worked on a Fortune 100 Global Response Management platform and managed strategic marketing campaigns.

Throughout their career, Andrew has utilized various tools and technologies such as Snowflake, Sisense, AWS, Matillion, GraphQL, REST APIs, Postman, PostgreSQL, mySQL, Python, Git, Salesforce, JIRA, Monday, Pendo, and Lucidchart. Andrew has expertise in building data systems, developing ETL integrations, and empowering data insights for business intelligence purposes.

Andrew Goss holds a Master's degree from Northeastern University. Prior to that, they earned a Bachelor's degree from Marist College. Andrew'shigh school education was completed at North Attleboro High School. In addition to their formal education, they have obtained several certifications, including being a Certified SAFe® 5 Agilist from Scaled Agile, Inc. Andrew has also completed courses and training in various areas such as Google Cloud Platform, Big Data and Machine Learning Fundamentals, Hadoop, leveraging unstructured data with Cloud Dataproc on Google Cloud Platform, SQL programming, and Scala Essential Training. No specific information regarding the years or months of obtaining these certifications is provided.

Links

Previous companies

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Timeline

  • Engineering Manager, Dataops

    September, 2022 - present

  • Staff Data Engineer, Team Lead

    March, 2022

  • Senior Data Engineer

    March, 2020

  • Data Engineer

    September, 2018