Swapnil Tailor
Software Engineer at Facebook
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolSwapnil Tailor is a seasoned software engineer with 11 years of experience building large-scale backend systems, currently based in the San Francisco Bay Area and working at Meta/Facebook. His career spans major platforms including Amazon, PubMatic, Groupon and Meta, with a strong focus on distributed systems, resource management and performance tuning. He contributes to high-profile open-source projects such as Presto, where his work touched server-side logic, request throttling, memory limits and task/resource managers—demonstrating a knack for improving reliability and observability in big-data engines. Swapnil combines deep engineering craftsmanship from enterprise e-commerce and ad-tech domains with academic training (M.Tech, IIIT Hyderabad), and is known for pragmatic, low-level fixes that yield measurable system gains.
11 years of coding experience
13 years of employment as a software developer
Master of Technology, Computer Science, Master of Technology, Computer Science at International Institute of Information Technology Hyderabad (IIITH)Bachelor of Engineering, Information Technology, Bachelor of Engineering, Information Technology at L.D. College of Engineering
Github Skills (14)
javas10
distributed-systems10
resource-management10
presto10
back-end-development10
java10
sql9
memory-management9
big-data9
query-optimization9
rest-api8
api-rest8
restful-api8
api-design8
Programming languages (4)
Github contributions (5)
prestodb/presto
Oct 2019 - Nov 2022
The official home of the Presto distributed SQL query engine for big data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:299 reviews, 61 commits, 134 PRs in 3 years 2 months
Contributions summary:Swapnil contributed to the Presto distributed SQL query engine, focusing on improvements to the server-side logic. Their commits include passing the `X_Forwarded_For` header from the proxy to the session context and the addition of a request throttling retry for verifier requests. Furthermore, they added memory limit checks and improved the performance by adding logging for spilling stages. They also made changes to the resource manager, discovery node manager, and task killer.
distributed-sqlquerybigdataquery-enginesql
swapsmagic/presto
Sep 2019 - Mar 2025
The official home of the Presto distributed SQL query engine for big data
Contributions:634 pushes, 138 branches in 5 years 7 months
jdbchbasebigdatakudubig-data
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