Priya Nair

Summary

I design pipelines and warehouse models that analysts can trust. Most of my work is about contracts, tests, and making silent data failures visible.

Skills

• Python
• SQL
• dbt
• Snowflake
• Airflow

Experience

1. Data Engineer

   Fieldline Analytics · 2020 — Present

   Built ingestion for operational events and introduced warehouse tests that catch schema drift.

2. Analytics Engineer

   Summit Retail · 2018 — 2020

   Modeled merchandising datasets and reduced conflicting KPI definitions across teams.

Education

• B.S. Applied Mathematics

  University of Colorado Boulder, 2018

Certifications

• dbt Analytics Engineering

Projects

• Pipeline health board

  Operational dashboard for freshness, volume, and failed tests across critical datasets.