Raul A. Maldonado

Summary

Computer science graduate focused on building clean, well-tested data models rather than one-off reports. Hands-on experience with dbt, Snowflake, and Git-based workflows from an internship and a warehouse-modeling capstone project. Looking to grow into a team that values documented, testable data pipelines over quick fixes.

Skills

• Languages & Tools: SQL, dbt, Snowflake, Git, Python (basic scripting)
• Data Modeling: dimensional modeling (star schema), staging/intermediate/mart layering, data testing and documentation
• Core Competencies: version-controlled analytics workflows, cross-functional requirements gathering

Experience

Analytics Engineer — Thistledown Apparel (Jul 2025 – Present)

• Build and maintain dbt models powering the company’s Snowflake-based marts for sales and inventory reporting
• Added 45+ dbt tests (uniqueness, not-null, referential integrity) across core models, catching 3 upstream data issues before they reached dashboards
• Rebuilt a legacy nightly SQL script as a modular dbt pipeline, cutting run time from 90 minutes to 25 minutes
• Documented data models and column-level definitions in dbt docs, reducing repeat questions from analysts by roughly half

Data Engineering Intern — Copperline Manufacturing (May 2024 – Aug 2024)

• Assisted in migrating a subset of legacy SQL transformation scripts into dbt models under version control in Git
• Built staging models for 4 source systems, standardizing naming conventions across the warehouse
• Contributed to code review on teammates’ dbt pull requests as part of the team’s Git workflow

Education

• B.S. in Computer Science, Highland State University, 2025
• Relevant coursework: Database Systems, Data Warehousing, Software Engineering Practices

Certifications / Projects

• dbt Fundamentals Certification, 2025
• Capstone Project: Designed a dimensional warehouse model (star schema) for a simulated e-commerce dataset in Snowflake, with a full dbt project including staging, marts, and automated tests