Tharun Mekapothula
Data Engineer @UnitedHealth Group
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WORK HISTORY
Data Engineer @UnitedHealth Group
Took ownership of cross-team data integrations spanning AWS and legacy systemsBuilt event-driven pipelines that supported both real-time alerts and scheduled analyticsPartnered with ML engineers to embed predictive logic into Redshift workflowsHelped reduce incident escalations by improving pipeline monitoring and error loggingWrote documentation and internal playbooks for new data pipeline onboardingSupported internal audit teams by ensuring consistent security tagging and lineage visibilityOptimized joins and partitioning strategies for 1TB+ datasets to improve report generationCollaborated with DevOps teams to streamline data deployment using Git and CI/CD toolsActed as go-to engineer for Kafka and Kinesis troubleshooting across multiple teamsMentored junior engineers on using Glue and Airflow for workflow orchestration
EDUCATION
Malla Reddy College of Engineering & Technology
Bachelor of Technology - BTech
Sacred Heart University
Master of Science - MS
ABOUT THARUN MEKAPOTHULA
I’m a data engineer with around 5 years of experience working with cloud platforms, streaming data, and large-scale ETL systems. I work mostly in AWS and Azure, and I’ve built pipelines that process hundreds of gigabytes daily. I’ve worked with Redshift, Glue, Kafka, Airflow, and Informatica. At United Health Group, I automated over 40 workflows and helped cut processing time by 80%. I’ve also integrated real-time data and ML models into production pipelines to help teams make faster decisions. My work follows strict security and compliance rules like HIPAA and GDPR. I’ve built systems that passed internal audits with no issues. Right now, I’m focused on creating fast, reliable data systems that support analytics and reporting. I enjoy solving hard problems and working with teams that care about clean, accurate data. Tools I use often: AWS (Glue, Redshift, S3, Kinesis), Azure Data Factory, Kafka, SQL, PySpark, Airflow, Informatica, Power BI
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