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Stuti PaudelSP
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Stuti Paudel

@stutipaudel1

Senior Data Engineer at UnitedHealth Group building healthcare Lakehouse and RAG pipelines processing 10+ TB/day.

United States
Message

At UnitedHealth Group, I modernize an enterprise healthcare data platform that processes 10+ TB/day. I led the CDC and streaming ingestion workstream from architecture through production rollout, cutting data sync latency from four hours to two.

I also developed RAG-ready healthcare data pipelines for semantic retrieval and built governed Lakehouse datasets for analytics and AI use cases. Previously, at CNA Insurance and Fifth Third Bank, I developed cloud data platforms and pipelines for insurance and banking analytics, including near-real-time claims ingestion and large-scale batch processing.

Experience

Work history, roles, and key accomplishments

UG
Current

Senior Data Engineer

Aug 2023 - Present (3 years 2 months)

Modernized an enterprise healthcare data platform using AWS, Databricks, and cloud warehouse technologies, processing 10+ TB/day across claims, member, provider, pharmacy, and EHR datasets. Led CDC and streaming ingestion, developed RAG-ready pipelines, and implemented governed Lakehouse architecture.

CNA Insurance logoCI

Data Engineer

Apr 2021 - Jul 2023 (2 years 3 months)

Designed and implemented enterprise-scale Azure data platforms processing 4+TB/day for 4 business units, mentoring 3 junior data engineers. Developed Azure Data Factory pipelines, built Spark/PySpark transformations, and implemented Lakehouse architecture with Delta Lake.

Fifth Third Bank logoFB

Big Data Developer

Sep 2018 - Mar 2021 (2 years 6 months)

Developed and optimized batch ETL pipelines using Python, SQL, Apache Spark, PySpark, Hive, and Hadoop, processing 1.5+ TB/day of banking data. Engineered data ingestion frameworks and supported migration of legacy Hadoop workloads to AWS and Azure.

Education

Degrees, certifications, and relevant coursework

Southeast Missouri State University logoSU

Southeast Missouri State University

Master of Science, Technology Management

Grade: 3.833

Master of Science in Technology Management from Southeast Missouri State University with a CGPA of 3.833.

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