À propos de Amine
Raw data is just noise. The real value starts when it becomes something your teams can trust and act on.
I am a Data Engineer with 4+ years of experience working on Databricks, PySpark, and Microsoft Fabric. I work end-to-end: ingestion, transformation, modeling, Data Quality monitoring, and performance optimization.
What I deliver:
- Batch and streaming ETL/ELT pipelines on Databricks and Microsoft Fabric
- Lakehouse architecture with Delta Lake (Bronze/Silver/Gold)
- Data Quality frameworks with active anomaly monitoring in production
- Clean, documented data products for BI, analytics, and ML teams
- Pipeline optimization for performance and cost efficiency
I have delivered production data engineering projects across different industries, including energy markets and retail.
Microsoft Certified: Fabric Data Engineer, Fabric Analytics Engineer, and Power BI Data Analyst.
Looking for a reliable Data Engineer who delivers production-ready pipelines? Let's have a quick call to discuss your project.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- SmileData EngineerENERGIEmars 2024 - Aujourd'hui (2 ans et 5 mois)Paris, France- Build and maintain batch and streaming data pipelines ingesting and processing energy price data from multiple sources into a production Lakehouse platform built around a data mesh architecture.- Tune distributed processing workloads to reduce latency on critical pipelines serving analytics teams.- Define and enforce Data Quality rules with active anomaly monitoring across production pipelines.- Prepare and structure data products consumed by Data Science teams to power predictive models on energy market prices.- Contribute to team engineering standards through code reviews, mentoring junior engineers, and delivering data products to business stakeholders.Tools: Databricks, PySpark, Delta Lake, AWS S3, Python, SQL, GitHub Actions, PyTest
- OmnishoreData EngineerGRANDE DISTRIBUTIONmars 2021 - septembre 2023 (2 ans et 6 mois)Casablanca, Maroc- Contributed to building a data platform from the ground up, covering data flow modeling and raw data structuring using a medallion architecture (Bronze/Silver/Gold).- Designed and automated ingestion workflows in Databricks to centralize data from SQL Server, Excel files, and other sources, enabling reliable KPI production and streamlined data management.- Worked closely with business teams to gather requirements, build tailored Power BI dashboards, and support data-driven decisions.- Improved reliability, maintainability, and performance by delivering a unified cloud solution on Azure, leveraging Delta Lake and distributed Spark processing on Databricks.- Developed and optimized SQL queries and built interactive Power BI dashboards surfacing strategic KPIs to support management decisions.Tools: Azure, Databricks, Spark, Delta Lake, Power BI, SQL Server, Excel, Python, GitHub, PyTest, CI/CD
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Formations
- Master’s Degree : Big Data, Architecture, Data Exploration & OptimizationCy-Tech2024
- Master’s Degree : Data EngineerÉcole des Sciences de l'Information2021Engineering Degree – Data Engineering ESI
Certifications
- Microsoft Certified: Fabric Data Engineer AssociateMicrosoft2025
- Microsoft Certified: Fabric Analytics Engineer AssociateMicrosoft2025