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Almamy KoreissiAK

Almamy Koreissi

Data Engineer

€450/day
Paris, FR
3-7 years

Average response time: 1 hour

About 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.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km)

Experience

  • SNCF
    Data Engineer
    TRANSPORTATION
    June 2024 - Today (1 year and 11 months)
    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
    PUBLIC SECTOR
    September 2023 - June 2024 (9 months)
    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
    BANKING AND INSURANCE
    April 2021 - May 2023 (2 years and 1 month)
    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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Education

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

Skill set (31)

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