Igor Maravić
Software Engineer at HiBob
Stockholm, Sweden
Summary
🤩
Rockstar🎓
Top SchoolIgor Maravić is a seasoned software engineer and engineering leader based in Stockholm with 11 years building large-scale distributed backends and data processing pipelines. He has driven cross-team architectural initiatives at Spotify—spanning royalties, fraud, and event delivery—and helped migrate critical systems to Google Cloud while authoring a chapter in the SRE Workbook. A pragmatic communicator and public speaker, Igor has translated complex technical challenges into operational solutions and shares his insights through talks and blog posts. He contributes to notable open-source projects such as Spotify’s Scio, where he improved Avro schema support and REPL ergonomics, demonstrating deep Scala and data-platform expertise. Recently he moved from Principal Engineer and short leadership stints into HiBob following the Pento acquisition, bringing product-focused execution and people-first collaboration. His background combines rigorous academic training in networking with hands-on experience shipping resilient, privacy-aware data systems.
11 years of coding experience
13 years of employment as a software developer
PhD, Computer Systems Networking and Telecommunications, PhD, Computer Systems Networking and Telecommunications at University of Belgrade, School of Electrical Engineering
Serbian, French, Swedish, English, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
scala10
macros10
avro10
data-serialization10
apache-beam10
data-processing10
serialization10
google-cloud-storage9
big-data9
gcp8
Programming languages (5)
Github contributions (5)
spotify/scio
Jul 2017 - Aug 2017
A Scala API for Apache Beam and Google Cloud Dataflow.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 commits, 13 PRs, 33 pushes in 28 days
Contributions summary:Igor significantly contributed to the `scio-avro` module, enhancing its functionality and usability within the Scio framework. They implemented features related to Avro schema generation, reading, and writing, including macros for generating case classes from Avro schemas and reading schemas from GCS paths and files. Furthermore, the user added warnings and resolved issues with context class loaders, demonstrating expertise in the integration and maintenance of the Scio library. They also added support for reading schema files from JSON files and importing AvroType to Scio REPL by default.
apidatabeambatchbigquery
i-maravic/MPLS-Linux
Mar 2016 - Dec 2017
Contributions:1 PR, 1 issue in 1 year 9 months
kernelmplsrewrittensourceforgelinux
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