Freelancer profile translated to English.
Back to original languageAbout Younes
With over 3 years of experience in data engineering and predictive modeling, I help companies harness the power of their data to solve data infrastructure-related challenges.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 30km)
Experience
- MamataData engineerINTERNET OF THINGS (IOT)May 2024 - Today (2 years and 1 month)Paris, France
- Carried out the migration of the data platform from Cognite Data Fusion to GCP, reducing infrastructure costs and improving scalability to support the increase in industrial data.
- Optimized industrial data extraction pipelines via API, improving performance and reducing execution latency by 30%, to ensure reliable and faster data availability.
- Industrialized pipelines and implemented a CI/CD approach by structuring deployments via GitHub Actions and Cloud Build to ensure automated testing and secure deployments.
- Deployed applications and jobs on Cloud Run for data processing flow components.
- Gathered and analyzed business needs for data modeling and definition of production KPIs derived from transformations.
- Designed and developed ELT pipelines with dbt to transform and structure data in BigQuery to produce reliable analytical tables adapted to business needs.
- Orchestrated workflows with Airflow: end-to-end processing orchestration, from ingesting JSON data stored on Google Cloud Storage to populating analytical tables, managing dependencies and scheduling jobs.
- Created KPI monitoring dashboards in Looker Studio to make indicators accessible and actionable, enabling production teams to optimize industrial line performance.
- EXTIAData scientist / Data engineerDIGITAL AND ITMay 2022 - May 2024 (2 years)Sèvres, France
- Defined the data collection architecture based on PostgreSQL and automated the acquisition of data from various sources (sensors, theodolites) to centralize, validate, and historize data.
- Developed and industrialized ELT pipelines with dbt to transform raw data into structured data and calculate business KPIs required for analysis.
- Orchestrated processing workflows with Airflow, through the design and development of DAGs ensuring automation, scheduling, and dependency management of pipelines.
- Developed interactive dashboards in Power BI, allowing business teams to visualize and analyze the temporal evolution of data and key indicators.
- Performed exploratory and statistical analysis of data and developed machine learning models (regression, Random Forest) for predicting business variables.
- Industrialized models by developing REST APIs with FastAPI, integrated into a CI/CD chain, enabling automated deployment and utilization.
- GEOSData analystCIVIL ENGINEERINGDecember 2020 - May 2022 (1 year and 5 months)Rueil-Malmaison, France
- Automated the collection and integration of data from multiple sources to centralize and validate data flows.
- Developed data preprocessing and quality control processes (Data Quality) to ensure data consistency, reliability, and usability.
- Performed statistical analyses on data from geotechnical surveys to identify trends and improve understanding of the phenomena studied.
- Automated calculations and processing based on geological models, reducing manual tasks.
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Education
- Master of ScienceMines Paris2022Master's degree, Data science
- MasterINSA LYON2020