Hi, I’m Divya Sree Kollipara. I’m a Senior Data Engineer with over 9 years of experience designing and delivering scalable ETL/ELT pipelines, data platforms, and real-time ingestion frameworks across AWS and Azure. I’ve built end-to-end data solutions for banking, insurance, and healthcare, leveraging SQL, Python, Spark, and modern cloud data services to enable reporting, analytics, and ML-ready features. I enjoy solving complex data modeling, governance, and performance optimization challenges, collaborating with data science teams to deliver feature-rich datasets for fraud detection, risk scoring, and actuarial modeling. I also emphasize secure, auditable architectures with RBAC and encryption, and I’ve automated CI/CD for data pipelines to ensure reliable production deployments.

Divya Sree Kollipara

Hi, I’m Divya Sree Kollipara. I’m a Senior Data Engineer with over 9 years of experience designing and delivering scalable ETL/ELT pipelines, data platforms, and real-time ingestion frameworks across AWS and Azure. I’ve built end-to-end data solutions for banking, insurance, and healthcare, leveraging SQL, Python, Spark, and modern cloud data services to enable reporting, analytics, and ML-ready features. I enjoy solving complex data modeling, governance, and performance optimization challenges, collaborating with data science teams to deliver feature-rich datasets for fraud detection, risk scoring, and actuarial modeling. I also emphasize secure, auditable architectures with RBAC and encryption, and I’ve automated CI/CD for data pipelines to ensure reliable production deployments.

Available to hire

Hi, I’m Divya Sree Kollipara. I’m a Senior Data Engineer with over 9 years of experience designing and delivering scalable ETL/ELT pipelines, data platforms, and real-time ingestion frameworks across AWS and Azure. I’ve built end-to-end data solutions for banking, insurance, and healthcare, leveraging SQL, Python, Spark, and modern cloud data services to enable reporting, analytics, and ML-ready features.

I enjoy solving complex data modeling, governance, and performance optimization challenges, collaborating with data science teams to deliver feature-rich datasets for fraud detection, risk scoring, and actuarial modeling. I also emphasize secure, auditable architectures with RBAC and encryption, and I’ve automated CI/CD for data pipelines to ensure reliable production deployments.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert

Work Experience

Senior Azure Data Engineer at Fifth Third Bank
June 1, 2025 - Present
Designed and implemented metadata-driven Azure Data Factory pipelines to ingest high-volume core banking transactional data into ADLS Gen2, built near real-time ingestion with Azure Event Hubs and Databricks Structured Streaming, and architected Delta Lake medallion layers for compliant downstream reporting. Implemented row-level security, RBAC, CI/CD for pipelines, and automated data quality checks and monitoring to ensure reliable production workflows.
Senior Azure Data Engineer at Nationwide Insurance
February 1, 2024 - May 31, 2025
Led Azure Lakehouse modernization with metadata-driven ADF pipelines, incremental loads, and semi-structured data ingestion. Built high-performance transformations in Databricks, maintained Delta Lake medallion architecture, and designed actuarial and risk analytics data models in Synapse. Implemented event-driven streaming, AI-assisted document processing, RBAC in ADLS/Synapse, and CI/CD for Dev/QA/Prod.
Senior AWS Data Engineer at Highmark Health
January 1, 2022 - December 31, 2023
Architected AWS Glue ETL pipelines to ingest claims, eligibility, and provider data into S3-based data lake with Hive external tables for optimized queries. Maintained medallion-style lake architecture on S3, built Redshift-based actuarial and risk analytics models, developed PySpark-based data quality and lineage checks, and integrated MLflow artifacts into curated layers.
Data Engineer at KIMS Hospitals
April 1, 2019 - November 30, 2021
End-to-end ETL pipelines in Python and SQL to ingest EMR, clinical, and billing data into a centralized SQL Server data warehouse with incremental loads. Standardized ICD-10 codes, implemented PHI masking, star-schema dimensional models, API integrations, and lineage documentation to support hospital analytics and predictive initiatives.
SQL Developer at City Union Bank
March 1, 2017 - March 31, 2019
Developed complex T-SQL stored procedures for core banking transactions, built SSIS ETL pipelines for CBS data, implemented partitioning and indexing for high-volume reporting, and supported RBI regulatory reporting with data validation and performance tuning.

Education

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Qualifications

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Industry Experience

Financial Services, Healthcare, Software & Internet, Professional Services