Grant Eisenmenger

About Grant Eisenmenger

Accomplished Data Engineer with a proven track record of transforming complex data landscapes into high-performance architectures. I currently specialize in optimizing revenue pipelines and architecting unified data models that influence scalability efforts across AWS.I bridge the gap between engineering and product, leveraging my background as an Analytics Consultant to translate stakeholder needs into robust, scalable solutions.https://public.tableau.com/profile/grant.eisenmenger

Experience

1. Data Engineer

   Amazon Web Services (AWS)

   Jan 2023 — Present · Tulsa, OK, US

   Architected and modeled a centralized data model to unify disparate logic across the organization, enabling flexible reporting and influencing a similar scalability effort across all of AWS- Optimized security and quality by implementing robust data validation and refined row-level security, resulting in simplified join logic and the elimination of data quality issues- Design and manage revenue pipelines for AWS Public Sector, reducing monthly ETL time by 90% and Tableau extract time by 50%- Serves as the Data Product Manager for revenue, proactively gathering customer use cases and communicating product updates to stakeholders- Driving the migration of core revenue pipelines from AWS Redshift and Glue to Apache Spark and Airflow to improve parallel runtimes and scalability.

Education

• Oklahoma State University

  Bachelor of Science - BS, International Business

  2013 — 2018

• Oklahoma State University

  Bachelor of Science - BS, Economics

  2013 — 2018

• Aarhus BSS - Aarhus University

  Bachelor of Business Administration - BBA, Business/Commerce, General

  2016 — 2016

Skills

• Stata
• Harmonized Tariff Schedule
• International Trade Compliance
• R
• Anti Dumping Duties
• Regulatory Marking Requirements
• Free Trade Agreements
• Public Speaking
• Microsoft Office