Minneapolis–St. Paul, MN

Spencer Godfrey

Manager / Data Engineer / Systems Architect / Systems Administrator

I build the infrastructure that makes data useful — scalable pipelines, resilient cloud systems, and reporting that people can actually trust. Nine years of turning operational complexity into boring reliability.

→ [email protected] → LinkedIn → Resume (PDF)
Spencer Godfrey

01 / Projects

Work

Cloud Efficiency

Slashed monthly cloud expenditures by 33% through an intensive 2-day sprint, utilizing AI to identify and optimize inefficient query patterns and resource allocation.

BigQueryGCPAI

GenAI Insight Integration

Architected a pipeline that injects automated, LLM-generated business insights directly into reporting systems, transforming raw data into narrative-driven executive summaries.

PythonLLMBigQuery

Unified Data Schema

Engineered a scalable, cross-platform data architecture that synchronized disparate streams from ad platforms, site tracking, and internal business sources into a single source of truth.

BigQueryPythonETL

02 / Skills

Toolkit

Leadership & Communication

Team LeadTechnical CommunicationEagle ScoutMentorshipVendor Management

Cloud Platforms

Google Cloud ServicesGoogle WorkspaceMicrosoft AzureAmazon Web Services

Programming Languages

SQLPythonBashJavaScriptHTML/CSSCJavaPerl

DevOps & CI/CD

KubernetesCloud Run/ServerlessDockerGitLinuxGitHub ActionsTerraformHelm

BI & Data Analytics

Looker StudioTableauMicrosoft ExcelJupyter NotebooksPandas

Databases & Data Stores

BigQueryPostgresMySQLSnowflakeSQLiteAirByte

03 / Experience

Career

Collective Measures — formerly Nina Hale
Minneapolis, MN

Digital marketing agency specializing in data-driven performance media.

2024 – Present

Data Engineering Manager

  • Leading a team responsible for the maintenance, scalable growth, and iterative design of agency data infrastructure to ensure a reliable and versatile data warehouse.
  • Conducting R&D of AI technologies and their applications within agency processes and business intelligence.
  • Managing direct-reports while also mentoring team members on areas of expertise and institutional knowledge.
2020 – 2024

Senior Data Engineer

  • Developed multiple proof-of-concept uses for Generative AI applied to marketing data analysis and company processes.
  • Managed vendor relationships and evaluated tools and services for the Analytics & Data Engineering team.
  • Grew managerial skills by performing day-to-day leadership responsibilities for two Data Engineering interns.
2019 – 2020

Data Engineer

  • Led transition between API service vendors and cloud database providers without reporting delays or outages.
  • Designed and built resilient and scalable cloud infrastructure using Kubernetes and containerized services.
  • Developed flexible reporting systems to automate recurring report generation and delivery processes.
2017 – 2019

Marketing Data Specialist

  • Designed and administered the agency's first database of marketing performance data for reporting and analysis.
  • Automated API data acquisition and ETL processes for fresh and consistent datasets.
  • Built standardized Tableau reporting assets for use across all clients and reporting intervals.
Computer-aided Engineering — UW–Madison
Madison, WI

University engineering department providing computing infrastructure and lab support.

2015 – 2017

Student Linux Systems Administrator

  • Managed University Engineering department web and email services hosted in virtualized environments.
  • Maintained student computer lab operating systems and software across a 250-host network.
  • Contributed as a member of a team consisting of undergraduate and graduate students.

04 / Education

Background

University of Wisconsin–Madison

Madison, WI

2017
Degree Bachelor of Science in Computer Science
Relevant Coursework
Artificial IntelligenceDatabasesHuman-Computer InteractionOperating SystemsNetworking

05 / Interests

Outside Work

Computer Hardware once a sysadmin, always a sysadmin
Music enjoyer of all genres
Video Games when the data pipelines behave
Reading non-fiction, espionage, fantasy, sci-fi

Eagle Scout. Still applies the "leave it better than you found it" principle to codebases.

05 / Contact

Get in Touch

I'm always interested in new problems, good teams, and interesting infrastructure challenges.

Email [email protected] ↗ LinkedIn linkedin.com/in/spencersgodfrey ↗