Dmytro Kazanzhy is a Data Engineer with 11 years of experience who blends clinical training as an MD with strong data engineering and analytics expertise, currently building data infrastructure at Lyft from Kyiv. He has delivered production-grade pipelines and real-time analytics across AWS, GCP, Azure and Snowflake for automotive, ESG, cybersecurity and marketing platforms, and previously supported national healthcare analytics in Ukraine. A co-founder of Genomics UA, he applies his medical background to bioinformatics interests and community building. Dmytro is also an active open-source contributor to high-profile projects like Apache Airflow and moto, improving database interaction components and RDS mocking features that aid testing and workflow reliability. Colleagues describe him as someone who bridges domain knowledge and engineering rigor—turning complex, regulated data problems into practical, well-tested solutions.
11 years of coding experience
4 years of employment as a software developer
Master's degree General practice, Master's degree General practice at Odesa National Medical University
Russian, Ukrainian, Turkish, gagauz, English, Romanian
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Back-end Developer
Contributions:123 reviews, 53 PRs, 247 comments in 1 year 3 months
Contributions summary:Dmytro primarily contributed to improving the functionality of the `SqlSensor` and related components within the Apache Airflow project. Their work involved adding new parameters, refactoring existing code, and addressing potential issues related to database hook parameters. The user also updated code to align with changes in dependencies, like the renamed `hook_params` parameter. These changes improve the flexibility and functionality of database interactions within the project.
A library that allows you to easily mock out tests based on AWS infrastructure.
Role in this project:
Back-end Developer
Contributions:11 reviews, 5 commits, 5 PRs in 1 month
Contributions summary:Dmytro primarily contributed to the `moto` library, focusing on implementing and adding new methods related to Amazon RDS (Relational Database Service). These additions include functionalities for database cluster snapshots, export tasks, and event subscriptions. The code changes demonstrate work on models, including `Cluster`, `ClusterSnapshot`, and `ExportTask`, and the implementation of associated API methods. They also addressed issues related to incorrect RDS statuses and updated engine versions.
ec2bototestinginfrastructureaws-infrastructure
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