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Mohand MammaMM

Mohand Mamma

Data Engineer

€675/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Mohand

Data Engineer with 5 rich years of experience under my belt. Passionate about humor first and foremost, and to a lesser extent (but really just a little) about data and its value chain.
During my 5 years, I developed expertise in collecting and leveraging data in various fields (finance, marketing, supply chain) and across different scopes (Banking, luxury, Energy...).
  • French

    Native or bilingual

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

Experience

  • Kering
    Big Data Engineer
    LUXURY GOODS
    October 2019 - September 2021 (1 year and 11 months)
    Île-de-France, France
    1) Data Part

    ● Industrialize data collection: customer complaints and management repository /
    o Implement a generic Spark component for data processing and refinement in HDFS
    o Expose data through external Hive views
    o Ingest data into a PostgreSQL database to feed Power BI dashboards
    ● Implement a monitoring component for ingestion processes and ingested data quality tracking
    ● Develop in Spark/Scala a calculation model for the latest current view of work orders

    2) Platform Part

    ● Daily monitoring of the production environment
    ● Code review on Gitlab and delivery tracking

    3) Project Management Part

    ● Diligently attend the daily meeting ceremony
    ● Regularly update the Jira dashboard and write documentation on Confluence
    ● Respect the fundamentals of the agile methodology and apply the principles of the SCRUM method
    Spark Scala Google cloud Big Query Apache Nifi
  • BNP Paribas
    Data Engineer
    BANKING AND INSURANCE
    June 2022 - Today (4 years)
    Paris, France
    1) Data Part

    ● Implement new flows for collecting new sources:
    o Integrate new ingestion into the Oozie workflow
    o Develop shell scripts for file deployment on HDFS
    o Develop the Spark/Scala script for data cleaning and refinement and its
    writing to HDFS
    o Implementation of new business rules for tagging job and training offers, as well as
    pushing (recommendations sent to employees)
    o Creation of the external Hive table for data exposure
    o Creation of the collection on Solr

    ● Perform optimizations on the Solr server to meet application requirements
    ● Automate the update of the skills repository
    ● Perform a major version upgrade of Spark
    ● Take into account code corrections suggested by SonarQube
    ● Manage obsolescence related to package version upgrades via Fortify
    ● Technical assistance to the business on the Dataiku tool

    2) Platform Part

    ● Daily monitoring of the production environment
    ● Code review on Gitlab and delivery tracking
    ● Integration of Jenkins into the delivery chain
    ● Implementation of deployment via Ansible
    ● Maintenance of the Dataiku solution

    3) Project Management Part

    ● Diligently attend the daily meeting ceremony
    ● Regularly update the Jira dashboard and write documentation on Confluence
    ● Respect the fundamentals of the agile methodology and apply the principles of the SCRUM method
  • Société Générale
    Data Engineer
    BANKING AND INSURANCE
    September 2017 - August 2019 (2 years)
    Paris, France
    The project is part of the digital transformation within the financial department and the implementation of a data quality study system within the existing Big Data environment.

    1) Data Part

    ● Automate the collection of financial data in the data lake
    o Configure Oozie to schedule processes
    o Create a Talend job for each new collection
    o Implement transformations in Spark/Scala to comply with the data format required by the data lake

    ● Implement various data quality controls (consistency, completeness, coherence, etc.) in Spark/Scala as part of the European Central Bank inspection
    ● Automate in Spark/Scala the anomaly processing by agencies (intelligent anomaly selection, automatic email sending, action/correction tracking)
    ● Develop in SparkLyr/R a semantic matching engine for two business definition dictionaries
    ● Expose aggregated data via Hive views

    2) Project Management Part

    ● Diligently attend the daily meeting ceremony
    ● Lead end-of-sprint ceremonies: retrospective and demonstration
    ● Respect the fundamentals of the agile methodology and apply the principles of the SCRUM / Kanban method

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Education

  • Master 2 (M2) Data, Knowledge and Natural Language, Computer Science
    Université de Montpellier
    2017
    Master 2 (M2) Données, Connaissances et Langage naturel, Informatique
  • MOOC creation of innovative companies: from idea to startup
    Institut d'Administration des Entreprises (IAE)
    2015
    MOOC création d'entreprises innovantes : de l'Idée à la start up

Certifications

  • Databricks Certified Associate Developer for Apache Spark 3.0
    databricks

Skill set (9)

Categories