
vinuthna reddy11
@vinuthnareddy11
I build reliable cloud data pipelines and analytics-ready datasets.
What I'm looking for
At CVS, I build and maintain healthcare ETL/ELT pipelines using Python, SQL, AWS Glue, Apache Airflow, and Snowflake, delivering datasets for analytics and reporting.
I improve high-volume SQL transformations and warehouse workloads, reducing downstream dashboard latency by 40%. I also create dimensional models, reconciliation checks, and Power BI dashboards for operational KPI tracking.
Previously at Cap Gemini, I improved enterprise financial-data ETL processing by 40% and supported migration of more than 30 TB of data to AWS while maintaining source-to-target consistency.
I also built an end-to-end e-commerce ELT pipeline with AWS S3, Snowflake, dbt, and Git, including curated transformation models and data-quality tests for reporting-ready supply chain and logistics data.
Experience
Work history, roles, and key accomplishments
Built and maintained ETL/ELT pipelines for healthcare data using Python, SQL, AWS Glue, Apache Airflow, and Snowflake. Improved SQL transformations and warehouse workloads, reducing downstream dashboard latency by 40%.
Education
Degrees, certifications, and relevant coursework
University of North Texas
Master of Science, Information Science
2024 - 2025
Grade: 3.78
Pursued a Master of Science in Information Science with a focus on data engineering and analytics. Achieved a CGPA of 3.78.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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