Naveen Balusu is a results-driven software engineer with nine years of experience specializing in big data and cloud-native pipelines, currently building scalable systems at Amazon. He has driven multimillion-dollar operational savings at Rivian by automating production control workflows with AWS, Airflow, Python, and Spark, and previously supported content integrity at Meta with large-scale Spark and Presto pipelines. His background spans end-to-end data platform work—designing Redshift warehouses, integrating SAP/OTM/Kafka sources, and deploying Spark jobs on EMR—alongside hands-on ML and NLP projects from his ASU research and Clairvoyant tenure. Comfortable moving between research prototypes and production ETL, he’s built anomaly-detection IDS, image classifiers, and predictive forum tools that reflect both applied ML and systems engineering chops. Based in Tempe, AZ, Naveen blends academic rigor (MS, ASU) with practical delivery across startups and hyperscalers, and often ties analytics-driven insights directly into business outcomes. An understated strength is his repeated success operationalizing experiments into monitored, cost-saving production workflows.
9 years of coding experience
7 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Arizona State University
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Vellore Institute of Technology
Contributions:15 commits, 1 PR, 36 pushes in 7 months
csdapacheairflowapache-airflow
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