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Almamy KoreissiAK

Almamy Koreissi

Data Engineer

450 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Almamy

Data Engineer | ETL & Big Data | Cloud & Analytics Specialist

Experienced and detail-oriented Data Engineer with expertise in designing, implementing, and maintaining data pipelines. Proficient in using modern data technologies including SQL, Python, Apache Spark, and cloud platforms. Skilled in transforming raw data into actionable insights, optimizing data workflows, and ensuring data quality across large datasets. Adept at collaborating with cross-functional teams to meet business and analytical needs.
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

Accepte de travailler sur site
Paris (jusqu’à 50 km)

Expériences

  • SNCF
    Data Engineer
    TRANSPORTS
    juin 2024 - Aujourd'hui (1 an et 11 mois)
    Paris, France
    - Collaborated with data scientists and business analysts to define data
    requirements
    - Designed and implemented ETL pipelines to process large volumes of
    data, utilizing PySpark and SQL
    - Optimized query performance to improve execution times for complex
    analytical queries
    - Developed and maintained automated reporting tools using Power BI
    - Conducted regular code reviews to improve system efficiency
    Azure Databricks Delta Lake Data Pipelines PySpark Spark SQL Databricks Workflows Microsoft Power BI
  • CNAF
    Data Engineer
    SECTEUR PUBLIC & COLLECTIVITÉS
    septembre 2023 - juin 2024 (9 mois)
    Paris, France
    - Designed and modeled a new datamart in Azure Data Lake Storage
    - Led the extraction and transformation (ETL) of large datasets via automated pipelines
    - Development and migration of a Web report to Power BI via Databricks
    - Collaborated with governance, business teams, project management (MOA), and technical leads to test and validate key performance indicators (KPIs) within the report
    Azure Databricks Data Pipelines PySpark Spark SQL Microsoft Power BI Azure DevOps
  • HSBC
    Data Engineer
    BANQUE & ASSURANCES
    avril 2021 - mai 2023 (2 ans et 1 mois)
    Paris, France
    - Designed and managed risk data pipelines using Talend, ensuring efficient ingestion, transformation, and storage in BigQuery for advanced risk analysis
    - Developed and optimized data processing workflows with Spark, enabling high-performance risk data preparation and analysis
    - Conducted impact analysis of market fluctuations on investment portfolios using Spark
    - Built interactive dashboards and automated reports with Power BI facilitating monitoring and decision-making based on key risk indicators
    PySpark Talend ETL Big Query PostgreSQL Airflow Google Cloud Storage

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Formations

  • Master’s Degree in Banking, Finance, and Insurance
    Université Paris 13 Sorbonne Cité
    2017
    Specialized in Statistics, Mathematics, Data Analysis, Finance, Risk Management etc…

Compétences (31)

Catégories