Hussein Awala

Senior Data Engineer

Paris, Ile-de-France
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Summary

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Hussein Awala is a Senior Data Engineer based in Paris with 8 years of experience building scalable data platforms and pipelines across ads, classifieds, and risk analytics. He combines hands-on production engineering at Datadog and Voodoo with open-source stewardship as an Apache Airflow committer and PMC member, contributing core scheduler and dataset-metrics improvements to one of the most widely used workflow engines. Comfortable across PySpark, Airflow, Argo, Kubernetes and cloud storage, he focuses on reliability, observability and automation to bring ML models and streaming systems into production. At leboncoin and Data4Risk he led platform optimizations, security and GDPR-aware data architectures while mentoring cross-functional teams. Notably, his Airflow work includes nuanced improvements to sensors, CLI task dependency handling and data interval semantics that reduce operational complexity at scale. He blends academic training in data science with pragmatic product-facing delivery, favoring measurable impact over novelty.
code8 years of coding experience
job5 years of employment as a software developer
bookMaster's degree Computer Science, Master's degree Computer Science at Lebanese University - Faculty of Sciences
bookMaster's degree Data Science, Master's degree Data Science at National School of Computer Science and Applied Mathematics of Grenoble
languagesArabic, English, French
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4,708reputation
220kreached
344answers
1question
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airflow
top-1%
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Github Skills (16)

apache-airflow10
data-pipeline10
data-pipelines10
python10
airflow10
data-engineering10
back-end-development9
kubernetes9
apache-spark6
pandas6
google-cloud-composer6
docker6
google-cloud-platform6
sql6
directed-acyclic-graph6

Programming languages (10)

TypeScriptHCLJavaC++RustScalaGoHTML

Github contributions (5)

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apache/airflow

Jun 2022 - Mar 2025

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
userBack-end Developer & Data Engineer
Contributions:2404 reviews, 769 PRs, 358 pushes in 2 years 10 months
Contributions summary:Hussein primarily focused on enhancements to the core functionality of the Apache Airflow platform. Their work involved adding features like a maximum wait interval for exponential backoff in the BaseSensor and implementing improvements for handling past dependencies in the Airflow CLI tasks. The user also contributed to the addition of statsd metrics for datasets, and they made modifications to data interval handling, demonstrating their involvement in data engineering aspects of the project.
monitorpythonschedulerapacheprogrammatically
hussein-awala/spark-on-k8s

Jan 2024 - Mar 2025

A Python package to submit and manage Apache Spark applications on Kubernetes.
Contributions:18 releases, 1 review, 230 PRs in 1 year 1 month
airflowkubernetespythonspark
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Hussein Awala - Senior Data Engineer