Freelancer profile translated to English.
Back to original languageAbout Othmane
Companies produce a lot of data, but without reliable pipelines and a clear architecture, it remains difficult to use. I help teams transform their raw data into clear and actionable dashboards through robust data engineering.
As a Data Engineer, I design, automate, and ensure the reliability of the entire data chain: collection, transformation, orchestration, and visualization. My goal is simple: to provide trusted data for quick and informed decision-making.
I have worked on various projects: pipelines orchestrated with Airflow, distributed processing with Spark, automation in Python, and Power BI dashboards for finance, product, and marketing teams. I am involved in both modeling and flow supervision.
I also have a strong DataOps inclination: containerization with Docker, reproducible deployments, CI/CD best practices, and production-ready environments (Kubernetes depending on the context).
I deliver turnkey solutions that are documented, maintainable, and scalable, with integrated quality controls and alerting.
If you are looking for a production and reliability-oriented Data Engineer, let's chat via video call: I can quickly frame your technical and business challenges.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Toulouse (up to 50km), Lyon (up to 50km), Montpellier (up to 50km), Bordeaux (up to 50km)
Experience
- ACTEELead Data EngineerENVIRONMENTALAugust 2025 - Today (10 months)Paris, France→ Mission Objective:Implement a robust and scalable data infrastructure to centralize, transform, and analyze territorial performance data.→ Achievements:• Design of a complete data lakehouse (Bronze/Silver/Gold model) improving data quality, traceability, and analytical performance.• Automation of ingestion and transformation pipelines, reducing processing times and increasing workflow reliability.• Creation of analytical views and Power BI dashboards, providing clear territorial performance analysis and real-time decision-making insights.→ Technical Stack:BigQuery, Google Cloud, Terraform, Python, Spark, Airflow, Superset, SQL, G, Databricks
- Hearst SolutionLead Data EngineerPRIVATE EQUITYJuly 2024 - August 2025 (1 year and 1 month)Dubaï, United Arab Emirates→ Mission Objective:Design and manage an end-to-end data solution for real-time monitoring and performance optimization of 10,000 cryptomining machines worldwide.→ Achievements:• Design of a data collection and centralization architecture via Python and REST API, ensuring a unified and reliable view of performance and costs.• Development of interactive Power BI and Streamlit dashboards, facilitating financial analysis, anomaly detection, and strategic decision-making.• Automation of underperforming machine monitoring, reducing intervention times and maximizing project operational profitability.→ Technical Stack:Python, BigQuery, Terraform, Power BI, Streamlit, REST API, SQL, Azure, Git
- Airbus Defence and SpaceData EngineerAVIATION AND AEROSPACEDecember 2023 - May 2024 (5 months)Toulouse, France
- Design and implementation of data pipelines for high-frequency technical flows
- Structuring and centralization of data within Data Lake architectures
- Processing and normalization of heterogeneous data from industrial systems
- Deployment of pipelines and management of the Run (monitoring, alerting, reliability)
- Continuous improvement of data quality and processing performance
- Close collaboration with technical and business teams in a sensitive industrial context
Reviews
Recommendations
+9
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Education
- Engineering Science DegreeInstitut National Polytechnique de Toulouse2021Diplôme en sciences de l'ingénieur
- Master's degree, International Purchasing and Supply Chain Management, Sales management, MarketingPeter the Great St. Petersburg Polytechnic University2021Master's degree, International Purchasing and Supply Chain Management, Sales management, Marketing
Certifications
- Microsoft Power BI Data AnalystMicrosoft2024