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Vaishnavi DasariVD
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Vaishnavi Dasari

@vaishnavidasari

Data Pipeline Engineer at CVS Health who cut healthcare batch processing time by 40% and delivers governed datasets to 200+ users.

United States
Message

At CVS Health, I orchestrate ETL/ELT pipelines across claims, pharmacy, eligibility, and provider data, cutting daily batch processing time by 40%. I also architect Snowflake reporting layers that deliver governed, analytics-ready healthcare datasets to more than 200 business users.

I support production data operations by monitoring pipeline exceptions and resolving schema changes, load failures, and Snowflake bottlenecks. My work on query optimization improved reporting performance by 35%, while CI/CD improvements reduced recurring manual production-support effort by 75%.

At the University of North Texas, I prepared more than 1,000 brain MRI scans for research and model inference. I also integrated Google Vertex AI outputs with Gemini API research summaries through LangGraph workflows, reducing manual diagnostic review effort by 85%.

At DBS Bank, I automated data workflows processing more than 10 million banking records daily and supported customer analytics and transaction-risk workloads. I also improved financial-reporting query times by 60% and helped maintain 99.9% SLA adherence.

Experience

Work history, roles, and key accomplishments

CVS Health logoCH
Current

Data Pipeline Engineer

CVS Health

Aug 2024 - Present (2 years 3 months)

Orchestrated ETL/ELT pipelines with Azure Data Factory and Informatica PowerCenter across 4 healthcare domains, cutting daily batch processing time by 40%. Architected Snowflake reporting layers with SQL, Snowpark, and dimensional modeling, delivering governed datasets to 200+ business users.

University of North Texas logoUT

Research Assistant - Data Analytics

Jan 2024 - Jul 2024 (6 months)

Prepared 1,000+ brain MRI scans using Python, pandas, NumPy, and TensorFlow preprocessing workflows, producing standardized datasets for model inference and faculty research analysis. Integrated Google Vertex AI model outputs with Gemini API research summaries through LangGraph workflows, reducing manual diagnostic review effort by 85%.

DBS Bank logoDB

Data Engineer

May 2021 - Jul 2023 (2 years 2 months)

Automated Informatica PowerCenter workflows with SQL, Oracle, SQL Server, and Shell Scripting for 10M+ banking records daily, sustaining 99.9% SLA adherence. Scaled Big Data pipelines with PySpark, Spark SQL, Hadoop, and Hive, cutting large-volume batch processing time by 50%.

Education

Degrees, certifications, and relevant coursework

University of North Texas logoUT

University of North Texas

Master of Science, Advanced Data Analytics

Pursuing a Master of Science in Advanced Data Analytics at the University of North Texas.

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