Summary
Prashant Gupta is a data engineer with a PhD and 12 years of cross-disciplinary experience building scalable data pipelines, repositories, and analytics across academia, startups, and enterprise (including Amazon). He combines big-data engineering (Spark, Hadoop, EMR) and AWS production pipelines (S3, Glue, Redshift, Lambda, Kinesis) with hands-on Python and shell tooling to move and harmonize multi-terabyte datasets for domains ranging from music apps to global biodiversity and geoscience. His postdoctoral work focused on taxonomy alignment, data decay analysis and automated extraction/standardization of massive biodiversity archives, where he built reproducible tools that handle 2TB+ archive versions and informed peer-reviewed research. Comfortable translating research problems into production systems, he has led instrument-scale repository projects (1PB/year) and startup analytics architecture, demonstrating both product-mindedness and deep data stewardship. Actively seeking industry data engineering roles in locations open to visa sponsorship (UK, Canada, Europe), he brings a rare blend of research rigor and pragmatic engineering that surfaces non-obvious data-quality and harmonization insights.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at The University of Auckland
Diploma in Computer Science, Computer Science, A, Diploma in Computer Science, Computer Science, A at Manukau Institute of Technology
Bachelor of Engineering (B.E.), Computer Software Engineering, First Class Honors, Bachelor of Engineering (B.E.), Computer Software Engineering, First Class Honors at University of Auckland
Hindi, English