Freelancer profile translated to English.
Back to original languageAbout Anas
Graduate of an engineering school in computer engineering specializing in data science, I master the fields of big data as well as various associated technologies such as Google Cloud Platform (particularly Big Query), Azure Data Factory, Power BI, Python...
My knowledge allows me to architect, manipulate and expose data to extract the information necessary for decision-making.
My latest experiences prove that I know how to work in an international context and that I have all the skills necessary for data-oriented missions (data warehouse manipulation, datamart creation, data visualization, Machine Learning).
I adapt very easily to my team and my missions.
English
Fluent
French
Native or bilingual
Spanish
Fluent
Can work on-site
Lille (up to 50km), Paris (up to 10km), Marseille (up to 10km), Bruxelles (up to 10km), Lyon (up to 10km)
Experience
- Groupement Les Mousquetaires - StimeData EngineerAGRICULTUREFebruary 2024 - Today (2 years and 4 months)Bruxelles, Belgium- Data Quality: develop Python packages using Spark to ensure data quality- Design data pipelines: develop and maintain the architecture and design of new features in direct collaboration with all stakeholders.-Participate in the evolution of the data architecture.- Technologies: Pyspark, Python, Databricks, Azure and DataVault
- ADEO ServicesData EngineerRETAIL (LARGE RETAILERS)January 2023 - March 2024 (1 year and 2 months)Lille, France- Creation of data cubes meeting the needs of thepurchasing and supply chain departments from a data warehousestored on GCP (Big Query)- Creation and automation of data pipelines usingStambia (ELT) and Airflow- Maintenance and evolution of existing pipelines and datamarts.- Creation of a complete Power BI dashboard bringing together the variousKPIs that allow the classification and rating of numeroussuppliers.
- Corum L’epargneData EngineerREAL ESTATEApril 2022 - January 2023 (9 months)Paris, FranceConstruction and maintenance of a data hub allowing the exploitation of financial data and the optimization of Corum's investment fund activities.Creation and automation of pipeline and python algorithms on Databricks generating databases and datamarts to meet business needs, analyze this data and apply machine learning algorithms to this data.- Projects:- Creation of a dataset allowing the detection of fraud- Reporting of various business KPIs- Outstanding amounts and shares of all customers- Creation of datamarts- Retrieval of data using APIs to know the activities of client companies- Reporting of various business KPIs- Data quality- Unit tests- Data retrieval:- Technologies used: Azure data factory, Azure Synapse, Azure storage, Databricks (python)- Data provenance: CRM, Back office, Servers, API- Data formats: database, csv file, parquet, excels, Power app- Data processing:- dataflow and pipeline on Azure datafactory- python using Databricks-Data exploitation:- Tableau and Excel reports
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Education
- Engineering degreeUniversity of Technology of Compiègne (UTC)2020Génie informatique (spécialité Data Science)
- (CPGE) BAC+2LYCEE JEAN-BAPTISTE SAY2017