Lukasz Kielar
Software Engineer at Atlassian
Krakow, Lesser Poland Voivodeship
Summary
👤
Senior🎓
Top SchoolLukasz Kielar is a software engineer with 8 years of experience who blends an early career in hydrotechnical engineering and hydraulic modelling with practical expertise in cloud-native data engineering. He has built and operated Big Data pipelines across GCP and Azure using Python, Scala and increasingly Rust, delivering production workloads for brands like ANZ, Allegro, Tesco and PriceSpy. Comfortable with Terraform, Kubernetes and CI/CD, he focuses on scalable, automated data platforms (BigQuery, Dataflow, Cloud Run) and real-time messaging (Pub/Sub). His transition from GIS and hydraulic model automation into software engineering gives him a strong systems-thinking approach and a knack for turning complex spatial or domain data into reliable analytics pipelines. Recently relocated to Australia before returning to work spanning Krakow and global teams, he combines cross-border collaboration with hands-on coding. Known for pragmatic automation and multidisciplinary problem-solving, he seeks roles that bridge engineering rigor with data-driven impact.
8 years of coding experience
7 years of employment as a software developer
Certificate of Completion Environmental Engineering, Certificate of Completion Environmental Engineering at Tianjin Polytechnic UniversityMaster of Engineering (MEng) Hydrotechnical Engineering and Geoengineering, Master of Engineering (MEng) Hydrotechnical Engineering and Geoengineering at Politechnika Krakowska im. Tadeusza KościuszkiApplied Computer Science, Applied Computer Science at AGH University of Krakow
Polish, English
Stackoverflow
541reputation
71kreached
18answers
0questions
Github Skills (48)
cargo10
idris10
rust10
lifecycle9
rust-lang9
apache-spark9
machine-learning9
model-management9
dvc9
incremental-learning9
ai9
python8
gis8
mlflow8
pyspark8
Programming languages (5)
Github contributions (5)
lukaszKielar/Geospatial-visualisation-notebooks
Jun 2018 - May 2024
Jupyter Notebooks for geospatial data analysis and visualisation
Contributions:2 PRs, 6 pushes, 3 branches in 6 years
lukaszKielar/conda-leaves
Aug 2020 - Nov 2020
Simple CLI tool that allows to pretty print all dependencies within conda environment.
Contributions:63 commits, 10 PRs, 12 pushes in 2 months
dependenciescondacli-toolconda-environmentpretty-print
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