Tricia Varney
@triciavarney
I build reliable cloud data pipelines that accelerate analytics and product decisions.
United StatesWhat I'm looking for
At Freshworks, I lead scalable Python, SQL, Spark, and Airflow pipelines that improved data accessibility for analytics and product teams by 40%. I build real-time and batch workflows with Kafka and dbt, maintain 99.8% pipeline uptime, and improve cloud-native architecture across AWS and GCP.
Previously at DRT Strategies, I developed ETL pipelines integrating PostgreSQL and APIs, optimized Redshift data models to improve query efficiency by 30%, and supported AWS migration work that reduced operational costs by 15%.
I'm focused on clean, governed, accessible data for analytics and product teams, from Snowflake and BigQuery models to Tableau and Power BI datasets. I also mentor junior engineers and document systems to make data platforms durable and maintainable.
Experience
Work history, roles, and key accomplishments
Led design and implementation of scalable data pipelines and ETL/ELT processes using Python, SQL, Spark, and Airflow, improving data accessibility by 40%. Developed optimized data models in Snowflake and BigQuery, enhancing query performance by 35%.
Data Engineer
DRT Strategies
Jul 2020 - Jun 2025 (4 years 11 months)
Developed and maintained scalable ETL pipelines using Python, SQL, and Airflow to integrate diverse data sources. Designed and optimized data models in Redshift, improving query efficiency by 30%.
Education
Degrees, certifications, and relevant coursework
Cardinal Stritch University
Bachelor's Degree, Computer Science
2016 - 2020
Bachelor's Degree in Computer Science from Cardinal Stritch University, completed from 2016 to 2020.
Availability
Location
United StatesAuthorized to work in
Job categories
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