Rafal Jankowski
Application Analyst
Miami Beach, Florida, United States
Summary
🤩
Rockstar🎓
Top SchoolRafal Jankowski is an Application Analyst with 10 years of IT experience, currently supporting high-volume, mission-critical environments at the U.S. Department of Veterans Affairs. He combines hands-on application and infrastructure monitoring expertise with tools like AppDynamics, Splunk and Dynatrace, and a strong background in desktop and systems administration supporting thousands of users. Rafal is also an active data engineering contributor in open source—having improved error handling and fail-fast behavior in the widely used dbt-core project—demonstrating attention to robustness and concurrent execution. Known for practical troubleshooting, clear communication and a positive, client-focused attitude, he is steadily expanding into scripting and deeper application engineering challenges from his Miami Beach base.
10 years of coding experience
2 years of employment as a software developer
bachelor's, bachelor's at Wyższa Szkoła Finansów i Zarządzania w Białymstoku
English, Polish
Github Skills (8)
data-modeling10
error-handling10
python10
dbt10
testing10
analytics9
data-engineering9
business-intelligence9
Programming languages (6)
Github contributions (5)
dbt-labs/dbt-core
Mar 2020 - May 2020
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Role in this project:
Backend & Data Engineer
Backend & Data EngineerContributions:27 commits, 5 PRs, 41 comments in 2 months
Contributions summary:Rafal primarily contributed to the dbt-core project by implementing and refactoring features related to error handling and execution control within the dbt framework. They added a `--fail-fast` argument to the `run` and `test` commands, enabling immediate termination upon encountering errors. The user also refactored the `FailFastException` to be a `RuntimeException` and improved the concurrency within the dbt linker by refactoring the some_task_done method lock. Additionally, they added tests to validate the behavior of the `--fail-fast` functionality, demonstrating a focus on quality and robustness.
analyticsdbt-viewpointtransformanalystssql
Raalsky/dbt
Mar 2020 - May 2020
dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Contributions:73 pushes, 8 branches in 2 months
datawarehousetransformanalystssqldata-build-tool
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