Norbert Luksa
Staff Software Engineer at Cloudera
Budapest, Hungary
Summary
👤
Senior🎓
Top SchoolNorbert Luksa is a Staff Software Engineer based in Budapest with 10 years of experience building high-performance data systems at Cloudera, where he leads the Data Warehouse Private Cloud efforts. He is an Apache Impala committer who has driven notable backend improvements—adding string similarity functions, Z-ordering, and optimizing count(*) for Kudu—to boost query performance and functionality. Transitioning from intern to technical lead, he shepherded the Private Cloud Data Warehouse from tech preview to GA, blending hands-on systems work with product delivery. Norbert pairs academic depth (MSc in Computer Science, teaching assistant experience in type theory and lambda calculi) with pragmatic engineering, regularly contributing to one of the most widely used open-source SQL-on-Hadoop engines. Colleagues describe him as a persistent problem-solver who favors measurable performance wins and elegant backend solutions.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Eötvös Loránd UniversityEötvös József College for Advanced StudiesMathematics and Computer Science, Mathematics and Computer Science at Jedlik Ányos Secondary School for Machine Industry and IT
English, German, Hungarian
Github Skills (11)
text-manipulation10
strings10
sql10
back-end-development10
impala10
data-processing9
data-structure9
algorithm9
data-structures9
algorithms9
performance-optimization8
Programming languages (7)
Github contributions (5)
apache/impala
Jul 2019 - May 2020
Apache Impala
Role in this project:
Back-end Developer
Back-end DeveloperContributions:17 commits in 10 months
Contributions summary:Norbert primarily contributed to enhancing the functionality of Apache Impala by implementing and integrating new built-in functions. They added edit distance and similarity functions (Jaro-Winkler, Damerau-Levenshtein) to the string manipulation capabilities, improving the data processing abilities of Impala. Further contributions included the addition of Z-ordering, extending the SQL grammar and implementing the corresponding backend features. They also optimized the count(*) function for Kudu scans, leading to performance improvements.
apache-impalaparquetolapsqlapache
luksan47/kube-fluentd-operator
May 2022 - Jun 2023
Auto-configuration of Fluentd daemon-set based on Kubernetes metadata
Contributions:6 pushes, 5 branches in 1 year 1 month
daemonfluentdcontourkubernetescri-o
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