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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 2024.15
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.236
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.23
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 .47
Highlights
FB Messenger moved from NoSQL to SQL for better performance ... seems counter-intuitive.
When FB Messenger launched, it used HBase. But over time, the CPU started exhausting due to Garbage Collection (of course, Java).
So, they moved to MySQL with a custom storage engine called MyRocks, which is an LSM Tree-based engine built on top of RocksDB.



