Pooja Gopu
Data Engineer @Blue Cross Blue Shield Association
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WORK HISTORY
Data Engineer @Blue Cross Blue Shield Association
Accelerated claims data availability by building automated Azure Data Factory pipelines extracting provider and enrollment data into Azure Data Lake Storage, supporting ML-based fraud detection models and operational analytics.• Reduced member enrollment data inconsistencies by 30% by implementing PySpark data quality validation frameworks on Azure Databricks that cleanse and standardize feeds from 15+ employer group systems, improving downstream analytics accuracy for business intelligence teams.• Cut daily claims processing time by implementing Delta Lake incremental loading patterns on Azure Databricks, creating feature stores for ML models predicting claim costs, reducing compute costs by 25% through optimized configurations.• Improved Power BI dashboard query performance by 40% by designing star schema data models in Azure Synapse Analytics that support healthcare analytics including claims cost analysis, provider utilization, and member demographics for member records.• Eliminated manual data quality checks by creating automated Python monitoring scripts that validate daily claims and enrollment feeds, reducing issue detection time through real-time email alerts for data anomalies.• Enabled self-service analytics for finance teams by building aggregated fact tables in Azure Synapse Analytics that pre-calculate key metrics, reducing report generation time for 50+ monthly business reports.
EDUCATION
Loyola Academy Degree& PG College
Bachelor of Science - BS, Computer Science
University of Missouri-Kansas City
Master of Science - MS, Computer science
ABOUT POOJA GOPU
As a Data Engineer at Blue Cross Blue Shield Association, I specialize in designing and optimizing ETL pipelines using Python, PySpark, and SQL. My work includes implementing cloud-native architectures on AWS and GCP to manage large-scale healthcare data, enhancing claims processing efficiency, and reducing data latency. With a Master’s in Computer Science from the University of Missouri-Kansas City, I bring expertise in data infrastructure and cloud platforms, including AWS and GCP. Passionate about improving operational efficiency, I contribute to scalable cloud solutions, robust data governance, and streamlined workflows to support data-driven decision-making.
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