Summary
Prashant Singh is a pragmatic Data Engineer II with eight years of experience building big-data pipelines and analytics platforms across telecom, banking, and media research settings. He combines hands-on expertise in AWS, Hadoop/Spark, Kafka, and Python with a strong background in ML—having deployed LSTM and anomaly-detection models into near-real-time Spark pipelines and worked on moving models to API-first AWS deployments. A master’s graduate in Information Systems, he’s reduced batch runtimes by 75% through Spark migrations and built end-to-end solutions that span ingestion (Sqoop/Oracle GoldenGate), processing, storage, and Tableau visualization. Beyond production engineering, he brings applied research experience in NLP and large-scale experimental analysis (e.g., 5M review fake-user detection and congressional speech slant work), which helps him translate business needs into robust data architectures. Based in Atlanta, he pairs a consultant’s client-focus with an engineer’s drive for scalable, testable systems.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS Information Systems, Master of Science - MS Information Systems at Georgia State University - J. Mack Robinson College of Business
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Savitribai Phule Pune University