Yasir Ekinci
Principal Software Engineer - AI at Grafana Labs
Belgium
Summary
🤩
Rockstar🎓
Top SchoolYasir Ekinci is a Principal Software Engineer - AI based in Belgium with a decade of experience building data-driven systems and leading ML teams. He progressed from data mining and TV analytics roles to senior data science leadership at GoCardless and now drives AI initiatives at Grafana Labs, blending product-minded engineering with research-grade modeling. Yasir is an active contributor to major open-source projects like Apache Airflow, where he added Oracle DB support and DataFrame-friendly hooks—showing he tackles real-world engineering gaps in orchestration tooling. Colleagues rely on him to translate complex data requirements into production-grade pipelines and sensible API designs. He holds advanced degrees from Universiteit Gent and Solvay Business School and is known for pairing pragmatic software craftsmanship with a strong focus on observability and operational robustness.
10 years of coding experience
8 years of employment as a software developer
MSc, MSc at Universiteit GentMaster, Master at Solvay Business School
Github Skills (15)
apache-airflow10
storage10
databases10
python10
datastore10
database10
data-engineering10
data-pipelines9
data-pipeline9
etl9
sql8
orchestra7
orchestration7
automation6
automations6
Programming languages (8)
Github contributions (5)
apache/airflow
Sep 2015 - Apr 2016
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Data Engineer
Data EngineerContributions:4 PRs, 1 comment in 6 months
Contributions summary:Yasir focused on integrating Oracle database support within the Apache Airflow platform. Their contributions included creating an OracleHook class to interact with Oracle databases, implementing SQL query execution, and enabling the use of pandas DataFrames. They also added support for custom Data Source Names (DSN) and service names within the Oracle connection configuration, alongside code refactoring and documentation improvements. The changes also included updates to the project's setup to include cx_Oracle requirements for OracleHook integration.
monitorpythonschedulerapacheprogrammatically
yoziru/prophet
Jan 2023 - Sep 2024
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Contributions:1 release, 15 pushes, 5 branches in 1 year 8 months
forecastingtime-series-analysisforecastslinearnon-linear
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