Kirill Ikonnikov
Head Of Software Engineering And Application Support
Moscow, Moscow City, Russia
Summary
👤
Senior🎓
Top SchoolKirill Ikonnikov is a seasoned software engineering leader with over 8 years in management and more than two decades of hands-on development experience, currently heading Software Engineering and Application Support at VTB Capital in Moscow. He blends practical data science and machine learning skills (Scikit-learn, Pandas, NumPy, Keras/TensorFlow) with deep backend and systems experience in Python, C++17, message pipelines (Kafka), and workflow orchestration (Airflow). Kirill has led engineering teams across finance and technology firms, shipping robust data-processing and web-service solutions using tools like Tornado, MongoDB, nginx, and Boost.Asio. An active contributor to open-source data tooling, he fixed critical MOEX data retrieval behavior in pandas-datareader and added tests to improve data accuracy and compatibility. Known for bridging production reliability with analytics-driven features, he combines leadership, QA/test automation rigor, and low-level performance awareness to deliver auditable, maintainable systems.
8 years of coding experience
14 years of employment as a software developer
Новосибирский Государственный Технический Университет (НГТУ)школа 134
Русский, English
Github Skills (11)
data-analysis10
pandas10
python10
financial-data10
testing10
pytest9
user-data9
data-model9
data-set9
back-end-development9
data-extraction9
Programming languages (2)
Github contributions (5)
pydata/pandas-datareader
Dec 2019 - Jan 2020
Extract data from a wide range of Internet sources into a pandas DataFrame.
Role in this project:
Back-end Developer & QA Engineer/Test Automation Engineer
Back-end Developer & QA Engineer/Test Automation EngineerContributions:6 commits, 3 PRs, 4 comments in 8 days
Contributions summary:Kirill primarily contributed to the backend logic of the pandas-datareader library, specifically focusing on data extraction from the MOEX (Moscow Exchange) source. They fixed a behavior change in the MOEX data retrieval process and added a test to validate the fix, demonstrating a focus on ensuring data accuracy. Further contributions included Python 2.7 compatibility adjustments and fixing PR remarks, indicating a focus on code quality and maintainability.
pandas-dataframedata-analysisdatadatasetstock-data
ikonnikov/cheatsheets
Nov 2018 - Aug 2025
Contributions:19 pushes, 1 branch in 6 years 10 months
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