Aidan Correll

Data Engineer + Lifelong Learner

Data Engineering → Analytics → Problem Solving → Lifelong Learning → Python → SQL → dbt → Cloud Infrastructure → Artificial Intelligence → Data Engineering → Analytics → Problem Solving → Lifelong Learning → Python → SQL → dbt → Cloud Infrastructure → Artificial Intelligence → Data Engineering → Analytics → Problem Solving → Lifelong Learning → Python → SQL → dbt → Cloud Infrastructure → Artificial Intelligence → Data Engineering → Analytics → Problem Solving → Lifelong Learning → Python → SQL → dbt → Cloud Infrastructure → Artificial Intelligence → Data Engineering → Analytics → Problem Solving → Lifelong Learning → Python → SQL → dbt → Cloud Infrastructure → Artificial Intelligence → Data Engineering → Analytics → Problem Solving → Lifelong Learning → Python → SQL → dbt → Cloud Infrastructure → Artificial Intelligence → Data Engineering → Analytics → Problem Solving → Lifelong Learning → Python → SQL → dbt → Cloud Infrastructure → Artificial Intelligence → Data Engineering → Analytics → Problem Solving → Lifelong Learning → Python → SQL → dbt → Cloud Infrastructure → Artificial Intelligence →
About

Building with Data

I'm a data engineer passionate about building solutions and driving impact. With 4+ years working in tech, I bring a solutions-oriented approach to problem solving and apply a why-what-how framework to understanding, goal-setting, and executing my projects. I hold an MBA, a BS in Finance, and a BS in Applied Mathematics from the University of Rhode Island.

Currently at Klaviyo, I focus on building robust data infrastructure that powers business decisions. I enjoy the entire data lifecycle—from designing efficient pipelines to creating intuitive tools that make data accessible to everyone.

When I'm not working with data, you'll find me running, fueling up on coffee, exploring game development, developing open source projects, or diving into the latest tech trends. I'm an avid runner—it's taught me how to push my mind and stay disciplined.

Experience

Where I've Worked

Business Intelligence Data Engineer

Klaviyo

Feb 2025Present

Promoted Q1 2025

  • Led Omnichannel Migration end-to-end for internal analytics environment with Product Analytics team, including custom data validation CLI tool and clean production deployment
  • Driving cost optimization initiative migrating dbt models from Snowflake to AWS EMR
  • Coordinated cross-functional analytics initiatives across 5+ teams (Data Science, Marketing Analytics, Product Analytics, GTM RevOps, Finance)
  • Built core data models: Discounting source of truth (consolidating NetSuite + Salesforce), dimensional models, revenue attribution, funnel analysis
  • Maintained 1.8:1 code review ratio (reviews given to PRs authored), productionalized end-to-end testing framework
  • Leveraging Claude Code for automated PR workflows; prototyping AI-powered analytics assistant for self-service queries

Associate Business Intelligence Engineer

Klaviyo

Aug 2023Feb 2025
  • Developing and maintaining the "source of truth" data environment used by everyone at Klaviyo to measure the health of the business
  • Working with petabyte scale databases optimized for business analytics
  • Developing data models that power predictive recommendations, marketing attribution, and financial forecasts to support the decision-making within the organization
  • Collaborating on a regular basis with the following teams at Klaviyo: Engineering, Customer Success, Support, Product, Sales, and Marketing
  • Working with a team of data engineers and analysts to build a world-class, self-service data environment that everyone at the company can use

Data Analyst I

Criteo

Oct 2022Aug 2023

Promoted to Data Analyst 1 Q3 2022

  • Leveraging Python and SQL to build automation and self-service tools to provide solutions to clients and partner with commercial teams
  • Building cron based schedulers, Tableau dashboards, auto-generated PowerPoint decks, HTML files, and Excel files via Python and web-applications
  • Developing internal web-applications with Flask backend and HTML front-end
  • Applying advanced troubleshooting techniques to provide tailored responses to clients' individual needs
  • Making smart and careful use of Python and SQL to query massive Hive and Vertica databases to share data-driven recommendations and insights for commercial teams and clients about their marketing efforts
  • Utilizing Data Science concepts and tools to develop useful insights for internal/external stakeholders
  • Maintaining deep knowledge of Criteo products and technologies as they evolve as well as understanding nuances of the performance of other marketing channels
  • Providing leadership through knowledge sharing and guidance of other team members and relevant stakeholders

Associate Data Analyst

Criteo

Aug 2021Oct 2022
  • Utilized an analytical, data-driven approach to understand our clients' needs and provide insights
  • Worked closely with account strategy team to help optimize their campaigns, present actionable insights, and answer in-depth analytical questions
  • Handled analytics requests from clients and solve business problems with data
  • Built and maintained reporting tools that present actionable insights to teams across the business
  • Partnered with internal stakeholders to identify and develop innovative analysis to address business opportunities and client needs
Education

Where I Studied

University of Rhode Island

Master of Business Administration, MBA

20202021GPA: 3.85 / 4.00

University of Rhode Island

Bachelor of Science, Finance

20162020GPA: 3.20 / 4.00

URI Service Corps

University of Rhode Island

Bachelor of Science, Applied Mathematics

20162020GPA: 3.20 / 4.00

URI Service Corps