Aditya Gogoi is a Data Engineer with 9 years of experience building scalable data warehouses, ETL pipelines, and ML-enabled analytics for enterprises and startups, currently applying NLP and Big Data tooling in a stealth healthcare startup. He has led data acquisition and pipeline projects at Google handling hundreds of gigabytes weekly, built automated EDA and LLM-driven data discovery tools, and previously improved throughput and product feedback as a Google Cloud Solutions Engineer. At Anthem he delivered production ML pilots and high-throughput ETL for claims and pharmacy data that yielded measurable cost savings. Comfortable across the cloud stack (GCP, AWS), Dataproc/Glue, BigQuery, and production ML tooling, he blends hands-on engineering with domain experience in healthcare and finance. Notably, he replaced slow SQL-based text scanning with a spaCy-powered NLP system that processes GBs of clinical text hourly, demonstrating a focus on practical performance and accuracy gains.
9 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering (B.E.) Electronics, Bachelor of Engineering (B.E.) Electronics at University of Mumbai
Nanodegree Deep Learning, Nanodegree Deep Learning at Udacity
Master of Science (M.S.) Information Systems Big Data and Analytics, Master of Science (M.S.) Information Systems Big Data and Analytics at Georgia State University - J. Mack Robinson College of Business
HSC Computer Science, HSC Computer Science at J. H. Ambani School
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