Illia T
DataOps Engineer
Krakow, Lesser Poland Voivodeship
Summary
🤩
Rockstar🎓
Top SchoolIllia T is a DataOps engineer with ~11 years in software and about 4 focused on data, currently building data infrastructure at FreshBooks and experienced across AWS, Snowflake/Databricks, Airflow and dbt. He progressed from Deep Learning and ML roles into data engineering and platform work, implementing Amundsen data cataloging and contributing stability fixes to its AWS integrations. Certified in multiple AWS tracks and Airflow fundamentals, he combines hands-on pipeline development (Spark/Scala, Python) with CI/CD, monitoring and cost-optimization improvements that he led at previous employers. Comfortable communicating with customers in English, he also speaks publicly, writes technical blogs, and actively contributes to open source—his GitHub motto is bluntly pragmatic: "Get Shit Done." Fast-learning and self-educated, he brings a results-oriented mindset and a track record of turning fragile deployments into reliable, monitored data platforms.
11 years of coding experience
6 years of employment as a software developer
Igor Sikorsky Kyiv Polytechnic Institute
Russian, Ukrainian, English, Polish
Stackoverflow
804reputation
306kreached
19answers
7questions
Github Skills (17)
data-pipelines10
python10
data-engineering10
aws10
neptune10
data-catalog10
data-pipeline10
metadata8
flask6
realm6
dictionary6
dockerfile6
docker6
java6
google-container-registry6
Programming languages (19)
Github contributions (5)
amundsen-io/amundsen
Jan 2021 - Jul 2021
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Role in this project:
Data Engineer
Data EngineerContributions:3 reviews, 10 commits, 11 PRs in 5 months
Contributions summary:Illia primarily focused on data engineering tasks within the Amundsen data catalog project. Their contributions involved fixing bugs related to AWS credentials, specifically for integration with Amazon Neptune. They also addressed issues with the Glue extractor, including the handling of search filters, and added logging for extracted records. These changes suggest a focus on data pipeline stability and efficiency.
scientistspythondatadata-scienceanalysts
iamtodor/jdg
Mar 2022 - May 2023
Гайд-путеводитель по JDG (ИП) в Польше
Contributions:101 pushes, 54 branches in 1 year 2 months
javascriptjdg
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