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Yasmine BenabdaYB

Yasmine Benabda

Data Engineer

€ 370/dag
Tunis, TN
0-2 jaar

Gemiddelde responstijd: 1 uur

Over Yasmine

Looking to make sense of your data, automate your workflows, or predict what’s coming next? That’s exactly what I do.

I help companies transform raw data into business value by designing real-time pipelines, dashboards, and intelligent models that don’t just process information, but deliver insights you can act on.

✅ What makes me different:

I combine Data Engineering (Kafka, Spark, Airflow, AWS) with Data Science (ML, NLP, Deep Learning) → meaning I don’t just move data, I also make it smarter.

I’ve built a real-time monitoring system for Orange that reduced anomaly detection time by 70%.

I created a full-stack shipment management app with Flask & APIs that handles everything from tracking to automatic PDF/email generation.

📦 Projects I can deliver for you:

End-to-end ETL & ELT pipelines (real-time & batch).

Monitoring platforms & dashboards (Metabase, Power BI, custom solutions).

Predictive models: anomaly detection, recommendations, forecasting.

Custom APIs & web apps to make your data accessible and useful.

If you need someone tech-savvy, reliable, and results-driven, I’ll make sure your project not only works, but creates real impact 🚀.
  • Frans

    Tweetalig / moedertaal

  • Engels

    Beperkte professionele capaciteit

  • Arabisch

    Tweetalig / moedertaal

Uitsluitend remote
Werkt voornamelijk remote

Werkervaring

  • Sofrecom Tunisie
    Data Engineering Intern
    april 2024 - september 2024 (5 maanden)
    • Designed and implemented a real-time monitoring pipeline using Kafka, Spark Streaming and MongoDB to track CPU usage and query execution. → Reduced performance anomaly detection time by 70%.
    • Developed batch pipelines with Spark SQL to compute weekly metrics (query counts, data volumes, execution times).
    • Built and deployed a Metabase dashboard for KPI visualization, enabling proactive monitoring of the Stargate platform.
    • Developed a prediction model for query volume estimation.
    • Automated batch jobs orchestration using Apache Airflow.
    • Deployed services via Docker Compose and GitLab CI/CD.
    Python Apache Kafka Apache Spark DevOps Machine learning
  • Banque de l'Habitat (BH)
    Data Analyst Intern
    juni 2023 - augustus 2023 (2 maanden)
    • Collected, cleaned, and transformed customer data from Oracle and MySQL databases.
    • Built a customer segmentation model (K-means) and a predictive model (LSTM) for spending behavior.
    • Designed and populated a Data Warehouse using SQL Server and SSIS.
    • Created Power BI dashboards for purchasing behavior and income visualization.
  • KODY
    Software Developer Intern
    juni 2022 - september 2022 (3 maanden)
    • Developed a class diagram serialization system.
    • Wrote user documentation and internal guides for development teams.

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Opleidingen

  • Engineering Degree
    ESPRIT
    2024
    Engineering Degree

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