Deepak Nandagopal is a Data Engineer with 10 years of experience building scalable data platforms and ETL pipelines across healthcare and finance, currently delivering data solutions at Children’s Hospital of Philadelphia. He holds a Master’s in Computer Science from UAH and applies deep expertise in the Big Data ecosystem—Spark, HDFS, Hive, Kafka, HBase—and relational databases to solve complex data integration and analytics challenges. His background spans data fabric engineering at Equifax and multi-year data platform work at Geisinger, giving him practical experience in productionizing streaming and batch workloads. Comfortable across Java, Scala, Python, R, and SpringBoot, he combines strong systems knowledge with hands-on implementation of data orchestration and governance. Based in Philadelphia, he pairs academic grounding in distributed systems and algorithms with a persistent focus on innovating how organizations manage and extract value from large-scale data. An understated strength is his cross-domain fluency—bridging traditional RDBMS practices with modern big data tooling to accelerate measurable business impact.
10 years of coding experience
5 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at University of Alabama in Huntsville
Bachelor of Engineering (BEng), Computer Science, 74%, Bachelor of Engineering (BEng), Computer Science, 74% at Anna University / Jaya Engineering College
Contributions:2 PRs, 7 pushes, 2 branches in 3 months
spring-boothibernatespring-mvcspringjava
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