Venkatesh Uppala

About Venkatesh Uppala

Data Engineer with nearly 5 years of experience in Azure, AWS, Databricks, Tableau and Power BI. Skilled in designing scalable ETL pipelines, optimizing Spark workflows, and developing Delta Lake models. Delivered measurable impact across financial, consulting, and risk domains by improving data quality, accelerating analytics, and enhancing compliance reporting with cloud-native, business-ready solutions.

Experience

1. Data Engineer

   LexisNexis Risk Solutions

   Oct 2024 — Present · FL, US

   Engineered Databricks ETL pipelines using PySpark and Delta Lake, processing 50M+ weekly records, reducing runtime by 28%, and supporting analytics across fraud and compliance environments.• Created Power BI dashboards linked with Azure Data Lake, delivering real-time insights and improving fraud detection accuracy by 22% while streamlining compliance monitoring for regulatory agencies.• Outlined validation rules in Databricks SQL, elevating data quality by 35%, removing 95% duplication errors, and ensuring audit-ready datasets across multiple ingestion layers.• Executed 10+ Azure Data Factory pipelines, achieving 99% on-time availability, reducing manual preparation effort by 70%, and supporting mission-critical ML workflows.• Optimized Spark runtimes by 32% through caching and partition design, boosting ML model execution by 18% and accelerating reporting timelines for compliance analytics.• Secured 98.5% uptime via automated recovery workflows, reducing escalations by 40%, and ensuring timely delivery of regulatory data feeds

Education

• RGM Group of Institutions, Nandyal

  Bachelor's degree

  2016 — 2020

• Florida Atlantic University

  Master's degree

  2023 — 2025