Varun Thota
@varunthota
Data Engineer focused on cloud ETL, real-time streaming, and business-ready analytics dashboards.
United StatesWhat I'm looking for
I’m a Data Analyst/Data Engineer with 4+ years of experience delivering data-driven solutions across healthcare and consulting. I build end-to-end ETL pipelines, real-time data streaming architectures, and data warehouse solutions on modern cloud platforms.
At Kaiser Permanente, I architected scalable ETL pipelines processing 2.5 million patient records daily using Apache Spark and AWS Glue, cutting data processing time by 45%. I also built real-time streaming with Apache Kafka and AWS Kinesis to monitor patient vitals and clinical events across 40+ medical facilities.
I strengthen reliability by implementing automated data quality validation with Python and SQL—achieving 99.8% data accuracy—and by enforcing HIPAA-compliant data governance and security measures. I optimize performance through indexing and query tuning, reducing report generation time by 60%.
Previously at PwC, I analyzed 10+ million transactions monthly to identify fraud patterns and reduce false positives by 40%, and I built BI dashboards in Power BI and Tableau for 15+ client portfolios. I enjoy mentoring teams, translating complex requirements into technical solutions, and delivering insights that improve decision-making and operational efficiency.
Experience
Work history, roles, and key accomplishments
Architected and implemented scalable ETL pipelines and real-time streaming solutions for processing patient data across multiple medical facilities. Built Redshift data warehouse schemas, automated data quality validation, and delivered machine-learning readmission risk models and Tableau dashboards to improve clinical reporting and decision-making.
Analyzed large-scale financial transaction datasets to identify fraud patterns and support client investment and reporting needs. Developed BI dashboards, automated ETL workflows, performed statistical analysis and hypothesis testing, and improved data quality and compliance through audit trails and validation processes.
Education
Degrees, certifications, and relevant coursework
University of Texas at Arlington
Master of Science, Applied Statistics and Data Science
Earned a Master of Science in Applied Statistics and Data Science from the University of Texas at Arlington.
CVR College of Engineering
Bachelor of Engineering, Electronics and Instrumentation Engineering
Earned a Bachelor of Engineering in Electronics and Instrumentation Engineering from CVR College of Engineering.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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