Summary
Mayank Patel is an Expert Data Engineer based in Stony Stratford with over a decade of professional experience and a 17+-year background in low-latency Java backend systems. He designs and delivers large-scale data migrations and Lake-to-Lakehouse transformations at enterprise scale, combining Java 17, Python, Alloy and Snowflake to move billions of records while tuning performance and cost. At Goldman Sachs he built automated SQL-to-Pure conversion tooling, Agentic AI workflows and automated test-case generation that slashed conversion times and reduced manual effort dramatically. His work spans cloud migrations, CI/CD, microservices on AWS, and production analytics stacks with Django, Tableau and Plotly that turn high-volume data into live decisioning dashboards. Unusually for an engineer at this level, he also architects learning-focused Agentic Reading AI and token-efficient ML patterns, showing a knack for blending developer productivity, AI automation and operational cost control. He holds an MEng in Computer Software Engineering and a steady track record of leading cross-functional teams through complex, regulated and defence-grade projects.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Engineering (B.E.) Electrical Electronic and Communications Engineering Technology/Technician, Bachelor of Engineering (B.E.) Electrical Electronic and Communications Engineering Technology/Technician at VIT (South Gujarat University)
Master of Engineering - MEng Computer Software Engineering, Master of Engineering - MEng Computer Software Engineering at University of Hertfordshire
12 Science Science, 12 Science Science at Vivekananda Vidyalaya
HTML and PHP Computer Science, HTML and PHP Computer Science at Self Study
Gujarati, Hindi, English