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 29% 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 / Consulting

Services

Freystone LLC is my independent consulting practice. I work directly with businesses to solve technical problems in data engineering, software engineering, and IT — from early-stage data infrastructure to cloud migrations and AI integration.

→ freystone.com

IT Consulting

Strategic IT planning, infrastructure optimization, cloud migration, and technology roadmap development to align IT capabilities with business objectives.

Software Engineering

Custom software development, application modernization, DevOps implementation, and technical architecture design to build scalable, robust solutions.

Data Engineering

Data pipeline design, ETL development, data warehouse architecture, and real-time data processing to create reliable data infrastructure.

Data Analytics

Business intelligence, predictive analytics, data visualization, and machine learning solutions to unlock insights from your data.

AI Implementation & Advising

Practical AI strategy, LLM integration, and generative AI adoption — from proof-of-concept to production. Focused on real business impact, not hype.

Cloud & Infrastructure

GCP architecture, Kubernetes deployments, cost optimization, and DevOps implementation to build reliable, scalable cloud environments.

04 / Experience

Career

Freystone LLC — Independent Consulting
Minneapolis, MN

Solo consulting practice offering data engineering, software engineering, and IT services to businesses of all sizes.

2025 – Present

Consultant

  • Designing and implementing scalable data pipelines, ETL workflows, and cloud data warehouse architecture.
  • Advising on IT strategy, infrastructure optimization, and technology roadmaps aligned to business objectives.
  • Developing custom software solutions and providing DevOps and technical architecture guidance.
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.

05 / Education

Background

University of Wisconsin–Madison

Madison, WI

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

06 / 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.

07 / 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 ↗