Arpit Bhayani

Arpit Bhayani is a Staff Software Engineer at Google, where he has been involved in leading the Dataproc India team, focusing on providing a managed big data ecosystem for Google Cloud Platform (GCP) customers. His tenure at Google began in October 2022 and lasted until 2024.1 5

Professional Background

Current Role: Staff Software Engineer at Google
Previous Experience:
- Co-Founder and CTO at Profile.fyi, where he oversees technical and product development.
- Director of Engineering at Unacademy, where he built and led various engineering teams.
- Software Development Engineer II at Amazon, contributing to the Fast Data team.

Bhayani has over 10 years of experience in software engineering and engineering leadership, specializing in system architecture, database internals, and advanced algorithms. He is also recognized for his work as the creator of DiceDB, a scalable cache optimized for modern hardware.2 3 6

Education

Master of Technology (M.Tech) from the International Institute of Information Technology, Hyderabad (2013 - 2015).
Bachelor of Technology (B.Tech) from the College of Engineering, Pune (2008 - 2012).1

Skills and Interests

Arpit Bhayani is skilled in various programming languages and technologies, including:

Java
Python
C++
Distributed Systems
System Design

He is passionate about sharing his knowledge through teaching and online courses, particularly in system design for engineers.2 3

Online Presence

Bhayani actively engages with the engineering community through his personal website and social media platforms, where he shares insights on system design and career growth. His LinkedIn profile can be found under the username arpitbhayani .4 7

Highlights

Mar 28 · twitter

Received this message from a Senior Engineer on Google's internal chat.

The stuff I cover in my course is so close to the real world that you will get its value right away as it transforms the way you participate in design discussions at your workplace.

There will be a visible change in your thought process and will help you build the right intuition towards designing and implementing any and every system.

If you are interested in learning system design right away, admissions are open for the April cohort which starts on the 19th, and only 22 seats left for that. I keep the seats limited because the course is filled with brainstorming and not a monologue.

Together we will be designing the system, discussing trade-offs, and more importantly what it takes to run things in production including the design decisions that will make it break at scale.

if you are keen, enroll - https://t.co/nnhcj5gQzH