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Sudip Neupane

@sudipneupane1

Senior Data Engineer at UnitedHealth building governed healthcare lakehouse pipelines and ML-ready datasets.

At UnitedHealth, I architect Azure healthcare data pipelines for claims, member, provider, pharmacy, clinical, and utilization data. I modernized legacy ETL with Azure Data Factory, ADLS Gen2, Azure Databricks, and Snowflake, and developed a metadata-driven ingestion framework for 30+ healthcare source systems.

Across UnitedHealth, Liberty Mutual Insurance, MetLife, and Bank of America, I’ve built and supported batch and streaming data workflows, data models, and quality controls for healthcare, insurance, and financial data. My work has included optimizing Snowflake, BigQuery, and Redshift environments, contributing to approximately $800K in annual savings, and preparing governed datasets for analytics and AI/ML use cases.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

UnitedHealth

Apr 2023 - Present (3 years 6 months)

Architected Azure-based healthcare data pipelines processing 500+ GB of claims, member, provider, pharmacy, clinical, and utilization data daily. Modernized legacy ETL by migrating workloads to Azure Data Factory, ADLS Gen2, Azure Databricks, and Snowflake.

Data Engineer

Liberty Mutual Insurance

Oct 2021 - Apr 2023 (1 year 6 months)

Developed and maintained batch ETL/ELT pipelines for policy, claims, billing, customer, and underwriting data, processing 100+ GB of data daily. Implemented incremental loading and CDC patterns, reducing unnecessary full data processing by approximately 30%.

AWS Redshift S3 Glue Lambda AWS CodePipeline QuickSight Apache Spark Python SQL Terraform CI CD Data Governance Security ETL ELT Data Quality Tools

Data Engineer

MetLife

Oct 2020 - Oct 2021 (1 year)

Assisted in developing and maintaining ETL pipelines for policy, claims, customer, billing, and insurance operations data using SQL, Python, and enterprise data tools. Supported the onboarding of new data sources and implemented incremental loading.

Python SQL PySpark Apache Spark AWS S3 Glue Redshift ETL ELT Airflow Data Warehouse Data Quality Validation Batch Processing Near Real Time Processing Dimensional Modeling Git CI CD Power BI Tableau

ETL Developer

Bank of America

Mar 2019 - Oct 2020 (1 year 7 months)

Developed and maintained ETL workflows using SQL and enterprise ETL tools to extract, transform, and load customer, account, transaction, and financial data. Implemented data quality validations and supported performance improvements.