Marios Iliofotou
Distinguished Engineer at Elastic
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolMarios Iliofotou is a Sr. Principal Architect based in San Jose with 11 years of experience designing data-intensive systems for security analytics, currently leading architecture for Splunk’s Enterprise Security, UBA, and BA products. He combines deep academic training (PhD in Computer Science, 4.0 GPA) with hands-on engineering, having moved from research roles and startups into senior platform and chief-architect positions. His work spans streaming and batch processing, and he contributes to open-source tooling for typed Spark datasets—extending Frameless to support higher-dimensional projections, aggregations, and practical utilities like explode() and flattenOption(). Known for turning research-grade ideas into production-grade analytics, he blends rigorous type-safe design with pragmatic dependency and API upgrades. Colleagues rely on him to shape scalable analytics platforms that bridge advanced machine learning signals with enterprise security operations.
12 years of coding experience
12 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at University of California, RiversideBachelors in engineering, Electrical and Computer Engineering, Bachelors in engineering, Electrical and Computer Engineering at Technical University of Crete
English, Greek
Stackoverflow
8,954reputation
601kreached
217answers
17questions
sbt
top-5%
scala
top-1%
rdd
top-5%
apache-spark
top-1%
hadoop
top-5%
Github Skills (21)
apache-spark10
spark10
datasets10
scala10
f10
functional-programming10
hadoop9
dataframe9
sbt9
dataframes9
aggregations9
rdd9
parquet6
scalatest6
case-class6
Programming languages (7)
Github contributions (5)
typelevel/frameless
Oct 2016 - Mar 2021
Expressive types for Spark.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 releases, 3 reviews, 105 commits in 4 years 6 months
Contributions summary:Marios primarily contributed to the `frameless` project, which focuses on expressive types for Spark. Their work involved upgrading dependencies like Cats to version 0.7.2 and extending projections to handle ten dimensions. Furthermore, the user added a method to create a TypedDataset from a Spark DataFrame, implemented aggregation and projection functions, and introduced the support for several utility functions like explode(), flattenOption() and asCol(). The user also adapted the functions to work on both projected and aggregated columns.
sparkscalatypelevelfpfunctional-programming
eucuepo/vagrant-kafka
May 2016 - May 2018
Vagrant config to setup a partitioned Apache Kafka installation with clustered Apache Zookeeper
Contributions:12 commits, 11 PRs, 7 pushes in 2 years
apache-kafkaapache-zookeepervagrant
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