Preetham Salehundam is an Engineer II with 10 years of experience building scalable, highly available data systems and APIs, currently delivering audiobook metadata and financial ETL at Spotify. He combines a strong Python-first toolset with distributed systems expertise—Spark, Hadoop, AWS Glue, Kinesis, Snowflake—and hands-on experience deploying CI/CD and containerized pipelines. His background spans end-to-end data engineering: ingestion from diverse sources, time-series and IoT analytics, graph representation learning, and production ML models using TensorFlow and Hugging Face. Notably, he processed 8TB of Wikipedia text with Spark and leveraged Neo4j and GraphSAGE for vandalism-detection research, reflecting a mix of applied research and production engineering. Based in Dayton, Ohio, he brings both academic rigor (MS in Computer Science, 3.89 GPA) and enterprise delivery experience from Capgemini to Spotify. An avid ML and tech enthusiast, he excels at turning complex data flows into reliable, partner-ready services.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, 3.89, Master of Science - MS, Computer Science, 3.89 at Wright State University
Contributions:3 pushes, 1 branch in 1 year 8 months
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