R. Maldonado

Summary

Senior analytics engineer with 9+ years designing and scaling data warehouse architecture for high-growth companies. Owns dbt modeling standards, semantic/metrics layer strategy, and cross-team data governance, and has led adoption of analytics engineering practices across multiple teams. Focused on building a warehouse that analysts and data scientists can trust and extend without breaking things.

Skills

• Languages & Tools: Advanced SQL, dbt (Core and Cloud), Snowflake (performance tuning, cost optimization), Git, Airflow
• Architecture & Governance: dimensional modeling at scale, semantic/metrics layer design, data testing strategy, access and governance policy
• Leadership: mentoring analytics engineers, defining modeling standards, cross-team stakeholder alignment

Experience

Lead Analytics Engineer — Silverlake Studios (Jan 2023 – Present)

• Own the overall Snowflake warehouse architecture serving 60+ analysts and data scientists across 6 business units
• Led company-wide adoption of dbt, migrating 300+ legacy SQL scripts into version-controlled, tested dbt models over 12 months
• Designed and rolled out a semantic/metrics layer that standardized 25 core business metrics, eliminating conflicting definitions across teams
• Defined the company’s dbt style guide and modeling standards, now required in code review for all 8 analytics engineers
• Mentor 3 analytics engineers and run a monthly “warehouse office hours” session to unblock cross-team modeling questions

Senior Analytics Engineer — Brackenridge Utilities (Jun 2019 – Dec 2022)

• Re-architected the core data warehouse from a monolithic schema into a layered staging/intermediate/mart structure in Snowflake, cutting model build time by 40%
• Introduced dbt testing and CI checks, reducing data-quality incidents reaching downstream dashboards by 60%
• Partnered with the data governance committee to define access controls and PII handling policies for 15+ sensitive data marts
• Led onboarding and training for 4 new analytics engineers on dbt and warehouse conventions

Analytics Engineer — Alderwood Insurance (Aug 2016 – May 2019)

• Built and maintained dimensional models supporting claims and underwriting reporting for a 200-person analytics org
• Migrated legacy stored-procedure transformations to a version-controlled SQL/dbt workflow, improving pipeline reliability
• Introduced automated data tests that caught an average of 8 data quality issues per quarter before reaching business reporting

Education

• B.S. in Information Systems, Millbrook University, 2016

Certifications / Projects

• dbt Analytics Engineering Certification, 2021
• SnowPro Core Certification, 2020
• Built and open-sourced an internal dbt package for standardized data testing, adopted across all analytics teams at Silverlake Studios