Sagar Mittal
Software Engineer at Databricks
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSagar Mittal is a seasoned software engineer with 20 years of experience building high-performance distributed SQL engines and analytic systems, now based in San Francisco and currently at Databricks. He previously led compiler/planner and join engine work on Google’s Tenzing and Procella and later architected Velox, Meta’s vectorized execution engine for SparkSQL, contributing production-grade functions and hash implementations to the open-source Velox project. His background spans product-scale systems at Google, research-driven execution engines, and process optimization at Celonis, giving him deep expertise in query compilation, joins, and vectorized execution. An amateur roboticist and pragmatic backend developer, he blends low-level C++ performance tuning with large-scale system design and a penchant for shipping reusable, extensible engine components.
20 years of coding experience
16 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Clemson UniversityMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Purdue University
Stackoverflow
13reputation
13kreached
0answers
2questions
Github Skills (18)
spark-sql10
c-language10
data-management10
query-parser10
sql10
query-engine10
cprogramming-language10
querying10
data-structure9
algorithm9
algorithms9
datastructures-algorithms9
data-structures9
performance-optimization8
html6
Programming languages (5)
Github contributions (5)
facebookincubator/velox
Aug 2021 - Mar 2022
A composable and fully extensible C++ execution engine library for data management systems.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:76 reviews, 47 commits, 17 PRs in 7 months
Contributions summary:Sagar primarily focused on implementing SparkSQL functions within the Velox execution engine. Their work involved implementing the `HASH()` function, including the use of Murmur3 hashing and combining hashes for various data types. Additionally, the user added the `unaryminus` function with overflow handling and implemented the `divide` function with SparkSQL semantics. Further contributions include the implementation of `LENGTH` and `INSTR` functions, and fixing the mapping of `md5`.
queryvectorizedcppdata-processingacceleration
nebree8/nebree8.com
Sep 2015 - Aug 2018
Contributions:17 PRs, 69 pushes, 2 branches in 2 years 11 months
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