Darshil Bhayani

About Darshil Bhayani

Senior Software Engineer with 7+ years of experience building large-scale data and privacy infrastructure, operating at the scale of 250M+ users and processing 1M+ requests/hour. Specialized in distributed systems, data platforms, and privacy-first architecture, with a strong focus on scalability, performance, and reliability. Led high-impact initiatives in dataset ownership and data governance, including designing and scaling an ownership inference system that assigned owners to 500K+ datasets and improved coverage from 11% to 26%. Extensive experience driving end-to-end privacy and compliance systems (e.g, GDPR, DMA), enabling secure and compliant data usage across global regions. Strong expertise in building and optimizing large-scale data pipelines using Spark and Scala, with proven results in performance tuning, latency reduction (~30%), and achieving high availability (99.99% uptime). Experienced in backend engineering (Java/Scala), distributed storage systems (HDFS/Hive), and scalable API design. Collaborate closely with cross-functional teams to deliver robust, compliant systems, while contributing to design reviews, mentoring engineers, and driving engineering best practices. Recently expanding into AI-driven systems, including LLM tooling, prompt engineering, and agentic workflows to enhance data and developer productivity.

Experience

1. Senior Software Engineer Data Privacy and Infrastructure Team

   Linkedin

   Mar 2022 — Present · Sunnyvale, CA, US

   Led network tracker enforcement for web egress calls, ensuring real-time user consent compliance across Europe for 250M users, processing 1.2M requests/hour - used Claude code and agent for finding network tracker’s ownership across LinkedIn ecosystem- Built and scaled HDFS/Hive data ownership inference system, improving coverage from 11% to 26% and assigning owners to 500K+ datasets- Drove end-to-end data governance and privacy initiatives (GDPR, DMA, CNIL), including dataset classification, privacy identification, and compliance enforcement for 135M+ users- Led migration of traffic gateway platform with advanced load balancing and SSL termination, reducing latency by 30% and achieving 99.99% uptime- Developed and optimized large-scale Spark/Scala workflows, ensuring high performance, reliability, and maintainability- Collaborated with cross-functional teams (legal, product, engineering), led design reviews, mentored engineers, and maintained high-quality, scalable systems.

Education

• Santa Clara University

  Master of Science - MS, Computer Science

  2017 — 2019

• Government Engineering College (GEC) Bhavnagar

  Bachelor's degree, Electrical, Electronics and Communications Engineering

  2008 — 2012