Venkata Madhu A
Senior Data Engineer @Nationwide
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WORK HISTORY
Senior Data Engineer @Nationwide
OH, US
Design and operate Spark/PySpark ETL pipelines in Databricks processing multi-TB financial and risk datasets• Build dimensional data models (star/snowflake) powering regulatory and analytics reporting workloads• Orchestrate production workflows in Airflow with monitoring, retries, and SLA controls• Improve query and storage performance in Snowflake/Databricks, reducing compute cost and runtime• Implement data governance and quality checks aligned with BCBS 239 regulatory standards• Deploy cloud infrastructure and pipelines via Terraform and CI/CD automation
EDUCATION
Indiana Wesleyan University
Master of Science, Information Technology
Indiana Wesleyan University
Master's Degree
ABOUT VENKATA MADHU A
I build scalable cloud data platforms and high-performance pipelines that power analytics, regulatory reporting, and risk insights in banking and healthcare environments.Over 6+ years, I’ve designed and operated batch and distributed data systems using Spark, PySpark, SQL, and Python across AWS and Azure lakehouse architectures (Databricks, Snowflake, Redshift, S3, ADF, Glue). My work focuses on reliability, performance optimization, and data quality at scale.At Nationwide, I develop production data pipelines and models supporting regulatory and risk analytics, applying BCBS 239 governance standards and cloud infrastructure automation (Terraform, CI/CD). Previously, I built healthcare data platforms integrating EHR, claims, and interoperability formats including HL7, FHIR, and EDI.I’m particularly interested in roles building modern data platforms, lakehouse architectures, and large-scale distributed processing systems.
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