Hitarth Trivedi is a results-driven software engineer based in San Jose with eight years of hands-on experience building data-intensive systems and pipelines for companies like Uber and Adap.tv. He excels in backend engineering using Go, Java, Python and big-data technologies (Presto, Kafka, Spark, Vertica, Hive) to deliver real-time reporting, data management services, and observability dashboards that reduce latency and costs at scale. His work includes creating end-to-end test frameworks, migrating large workloads to cost-effective formats (Avro/EMR), and designing logging and monitoring pipelines that surface heavy users and performance bottlenecks. Known for pragmatic performance tuning and operational improvements, he has repeatedly cut data availability times from hours to minutes and lowered infrastructure spend through format and pipeline redesign. He pairs a 3.8 MS in Computer Science with a background in full-stack and research projects, including conversational intelligent agents, bringing both production discipline and experimental curiosity to challenging data problems.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at K.J. Somaiya College Of Engineering
Master's degree, Computer Science, 3.8, Master's degree, Computer Science, 3.8 at Northeastern University
The official home of the Presto distributed SQL query engine for big data
Contributions:7 pushes, 1 branch in 6 months
bigdatabig-datatrinodatabasehadoop
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