Deekshith

Deekshith’s extensive experience in distributed systems and data engineering has equipped him with a deep understanding of large-scale data processing and the critical role of performant runtime architectures in modern enterprise platforms. He has a proven track record of architecting core platform components, leading complex proof-of-concept initiatives, and implementing robust distributed data pipelines that maximize execution efficiency and reduce infrastructure overhead. Specializing in Apache Spark, PySpark, Java, and Scala, he focuses on high-throughput compute optimization, lakehouse data pipelines, and scalable backend engine development. As a Senior Software Development Engineer at Yeedu, Deekshith drives core platform capabilities, turning complex distributed data challenges into reliable, production-grade solutions designed for high-concurrency enterprise workloads.