Martin Grund
Principal Engineer at Databricks
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolMartin Grund is a Principal Engineer based in Berlin with 18 years of experience building high-performance data systems and shipping pragmatic, production-grade solutions. He led engineering for Spark Connect at Databricks and has deep expertise in in-memory databases, having designed HYRISE during his PhD at the Hasso Plattner Institute. Martin has repeatedly driven large performance wins—e.g., doubling Impala throughput via changes across planning, scheduling, and execution—and has led platform and tooling efforts at AWS Redshift and Google. He combines low-level C/C++ systems work with higher-level language tooling (Python, Ruby) and operational improvements, often building missing tools and homogenizing complex buildchains. An active contributor to large open-source projects like Apache Spark, he brings both research rigor and hands-on engineering to security, governance, and distributed query execution. Colleagues rely on him to fix performance bottlenecks, design robust system architecture, and scale teams as a site and engineering lead.
17 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD) In-Memory Database Management, Doctor of Philosophy (PhD) In-Memory Database Management at Hasso Plattner Institute
German, English, French, Russian
Stackoverflow
2,471reputation
247kreached
62answers
8questions
Github Skills (18)
spark10
python10
back-end-development10
testing10
scala10
test-automation10
big-data9
javas8
java8
data-engineering8
amazon-redshift6
iphone6
amazon-s36
amazon-web-services6
loops6
Programming languages (11)
Github contributions (5)
apache/spark
Dec 2022 - Jan 2023
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:1025 reviews, 10 commits, 119 PRs in 25 days
Contributions summary:Martin contributed to the Apache Spark project by adding a new flag to the `run-tests.py` script, enabling the retention of test output for debugging purposes, and providing the supporting code changes. The user also fixed and re-enabled black code formatting checks and addressed code style issues. Further, the user added tests for basic functionalities like writes and added features for the Spark Connect API and created tests for these.
analyticspythondata-processingsqlapache
grundprinzip/duckypad-config
Feb 2021 - Feb 2021
Contributions:10 commits, 3 pushes, 1 branch in 7 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.