Ben Schenck

About Ben Schenck

Top performer in the data engineering and analytics space, experienced at leading data science and analytics teams, and skilled in building end-to-end data pipelines. Proven track record of overseeing enterprise-level analytics initiatives from the ground up, and particularly adept at bringing stakeholders together, interpreting requirements, and executing to drive revenue in alignment with the analytics vision of the business.Technically fluent in a variety of Modern Data Stack technologies, including but not limited to: Airflow, dbt, Fivetran, Stitch, Runner, Matillion, Python, Spark, Databricks, Snowflake, BigQuery, Redshift, PostgreSQL, Tableau, and Power BI. Exceptional at understanding architecture requirements, selecting tools and overseeing implementation in an efficient, cost-effective, and scaleable manner. Throwing time, money, and resources at data problems blindly does NOT solve them, only intelligently-engineered solutions do.

Experience

1. Manager, Sales Engineering - Tola, Pacnw, Global Commercial

   Astronomer

   May 2025 — Present · Austin, TX, US

Education

• Walden University

  Master of Science - MS, Information Technology (Big Data Analytics)

  2018 — 2019

• Federal University of Rio Grande do Sul

  Proficiência na Língua Portuguêsa

  2014 — 2016

• QUT (Queensland University of Technology)

  Bachelor's degree, Accounting and Finance

  2007 — 2010

Skills

• Business Process Improvement
• Financial Reporting
• Management
• System Administration
• Problem Solving
• Etl
• Access
• Microsoft Word
• Business Intelligence
• Financial Modeling
• Powerpoint
• Microsoft Excel
• Financial Analysis
• Databases
• Oracle Sql
• Microsoft Sql Server
• Analysis
• Windows
• Peoplesoft
• Government
• Accounting
• Change Management
• Business Analysis
• Budgets
• Data Analysis
• Crystal Reports