Surya Avula
@suryaavula
I build reliable, scalable data pipelines and products that turn complex data into trusted decisions.
United StatesWhat I'm looking for
At Optum, I build end-to-end data pipelines and products processing approximately 50–150 GB per day using dbt, Snowflake, Databricks, SQL, and Python. I've reduced reporting discrepancies by 20–30% and pipeline downtime by 30–40% through data quality, automated testing, observability, monitoring, and incident response.
Previously, I supported 40+ production ETL pipelines at Neighborhood Health Plan of Rhode Island and built self-service analytics datasets and Power BI/Tableau reports at Carelon Global Solutions. I enjoy taking loosely defined problems through delivery with analytics, product, and engineering teams, using AI and automation to make data work more reliable and useful.
Experience
Work history, roles, and key accomplishments
Built scalable data pipelines and data products end-to-end using dbt, Snowflake, and Databricks. Implemented CI/CD, data observability, and automated testing, reducing reporting discrepancies by 20-30% and downtime by 30-40%.
Education
Degrees, certifications, and relevant coursework
University of Texas at Arlington
Master of Science, Computer Science
2022 - 2023
Grade: 3.7
Master of Science in Computer Science from the University of Texas at Arlington, completed from 2022 to 2023.
Availability
Location
United StatesAuthorized to work in
Salary expectations
Job categories
Skills
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