Bora Sahin

Data Engineer

Stockholm, Stockholm County, Sweden
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Summary

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Bora Sahin is an Analytics Engineer based in Stockholm with five years of hands-on experience building data pipelines, cloud infrastructure, and backend systems across startups and scale-ups. He has driven production Airflow and dbt workloads on Google Cloud (GKE, Pub/Sub, BigQuery) and implemented API integrations for both streaming and batch use cases at Dream Games. Bora contributes to notable open-source projects—helping harden s5cmd (a fast S3 tool) and extending Apache Airflow operators—highlighting a pragmatic focus on reliability and testing. His background spans languages from Python and Go to Java and C#, and includes embedded/IoT work for drone systems, showing an unusual blend of cloud data engineering and hardware-adjacent software. Currently at Epidemic Sound, he applies this cross-domain experience to make analytics infrastructure more robust and production-ready.
code6 years of coding experience
job4 years of employment as a software developer
bookMaster of Science - MS Sustainable Digitalisation, Master of Science - MS Sustainable Digitalisation at KTH Royal Institute of Technology
bookBachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Koç University
bookErasmus+ Mobility Student Computer Science, Erasmus+ Mobility Student Computer Science at Stockholm University
languagesEnglish, Turkish, Swedish
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Stackoverflow

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Github Skills (23)

apache-airflow10
google-cloud-platform10
python10
data-engineering10
testing10
dbt10
gcp10
go10
aws10
amazon-s310
aws-s310
s3-bucket10
operator10
data-pipelines9
workflow-engine9

Programming languages (3)

GoPythonDart

Github contributions (5)

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peak/s5cmd

Jul 2022 - Sep 2022

Parallel S3 and local filesystem execution tool.
Role in this project:
userBack-end Developer & QA Engineer
Contributions:23 reviews, 13 commits, 18 PRs in 2 months
Contributions summary:Bora primarily contributed to bug fixes and implemented tests within the `s5cmd` project. They addressed issues related to error logging, copy commands, and proxy configurations. Additionally, the user added and modified end-to-end tests to improve the project's quality and reliability. They also worked on code related to object storage functionality.
filesystems3cliawss5cmd
apache/airflow

Jul 2023 - Jul 2024

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
userBack-end Developer & Data Engineer
Contributions:8 reviews, 19 PRs, 40 comments in 1 year
Contributions summary:Bora contributed to the Apache Airflow project by implementing new features and resolving issues within the providers and core components. Their work included enhancing the `LivyOperator` and `DbtCloudRunJobOperator` operators by adding new parameters, fixing bugs, and resolving deprecation issues. Furthermore, the user worked on improving data transfer service operators, specifically `CloudDataTransferServiceRunJobOperator`, which supports creating, running, and managing data transfer jobs.
airflowapache-airflowapachepythonscheduler
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