Sai Varre
Data Engineer | Python, SQL, Spark, Kafka | Airflow • Snowflake • Databricks • AWS • Azure • GCP | ETL/ELT • Data Quality • Real-Time Pipelines
- Role
- Software Dev Engineer i at Amazon
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Sai Varre
I am a Data Engineer with a Master’s degree in Computer Science from the University of Wisconsin-Milwaukee, and I have a strong foundation in building, validating, and supporting data pipelines and analytics workflows. My background combines software engineering fundamentals with hands-on experience in data processing, transformation, and analytics enablement.I have solid experience working with SQL and Python for data extraction, transformation, validation, and quality checks. I am comfortable designing analytics-ready datasets, applying data modeling principles, and supporting end-to-end data workflows that ensure accuracy, consistency, and reliability of data. My work emphasizes clean data design, reproducible transformations, and structured processes that support downstream reporting and decision-making.I have hands-on exposure to modern data and analytics platforms including Power BI, Microsoft Fabric, and Snowflake, where I focus on data ingestion, transformation, modeling, and visualization. I enjoy working at the intersection of data engineering and analytics, ensuring that data pipelines are not only technically sound but also practical and easy for analysts and stakeholders to consume.What differentiates me is my ability to quickly adapt to new tools, understand data from both an engineering and business perspective, and contribute to data solutions that are scalable, well-governed, and impactful. I am motivated by continuous learning and am seeking opportunities where I can apply my data engineering skills to build reliable data systems and grow further in the data domain.
Experience
Software Dev Engineer i
Nov 2024 — Present · Seattle, WA, US
At Amazon, I contribute to the development of Rufus, a generative AI-powered voice shopping assistant integrated with Alexa. My role involves designing and maintaining backend services using Java and Spring Boot, while leveraging AWS technologies, and managing on-call rotations to resolve production issues. I also assist in feature experimentation and rollouts using Amazon Weblab, enabling data-driven product enhancements.
Education
Vignan Institute of Technology and Science
Bachelor of Technology - BTech, Computer Science
University of Wisconsin-Milwaukee
Master's degree, Computer Science
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