Freelancer profile translated to English.
Back to original languageAbout Reda
Curious, methodical, and rigorous, I am passionate about the fields of Data and IT. With over 10 years of experience, I have contributed to the success of strategic projects and data transformations for major groups in the banking, payment, and industry sectors, including BNP Paribas, Worldline, Epsilon, BPCE SI, Crédit Agricole, and Exotec.
Over these experiences, I have developed a versatile technical expertise covering the entire data value chain, from the design and development of Python solutions to the industrialization of modern data platforms. My skills are based on Modern Data Stack technologies, including Airflow, dbt, Snowflake, and Databricks, as well as DataOps, DevOps, and CI/CD practices.
I am involved in data ingestion, transformation, orchestration, governance, and valorization in complex, high-volume environments, with a particular focus on the quality, performance, security, and automation of pipelines. My experience allows me to effectively support business and technical teams in implementing robust, scalable, and value-creating data solutions.
French
Native or bilingual
Arabic
Native or bilingual
English
Native or bilingual
Can work on-site
Lille (up to 50km), Paris (up to 50km), Bruxelles (up to 50km), Nice (up to 50km)
Experience
- ExotecSenior Data EngineerLOGISTICS AND SUPPLY CHAINJuly 2025 - Today (11 months)Croix, FranceContext:As part of a strategic project to migrate from Dynamics 365 Business Central to SAP, I contributed to the design and implementation of data migration and validation processes.Design and deployment of data pipelines to extract, transform, and load objects from Business Central into XML templates ready for import into SAP.Development of BigQuery queries to control the quality, completeness, and consistency of data before integration.Orchestration and industrialization of SQL transformations with DBT.Python automation for generating and formatting SAP import files, significantly reducing manual errors and accelerating the integration process.This approach secured the migration, reduced processing times, and optimized the quality and reliability of data integrated into SAP.Technical EnvironmentPythonDBTBIG QUERY
- BPCE Solutions informatiquesSenior Data EngineerBANKING AND INSURANCESeptember 2024 - July 2025 (10 months)Villeneuve-d'Ascq, FranceContext:Integrated into the ODS (Operating Data System) team, responsible for processing and modeling banking flows for Caisse d'Épargne, I participated in the design, development, and industrialization of data pipelines using Stambia / Semarchy XDI in an agile environment.Key Missions:- Gathering and formalizing business needs for data management and integration.- Writing detailed technical specifications based on functional requirements.- Data modeling using PowerDesigner to ensure model consistency.- Development of robust and optimized ETL flows with Stambia / Semarchy XDI and Oracle (SQL/PLSQL).- Execution of validation tests (acceptance testing) and support for production deployment.- Impact analysis of business evolutions on existing flows.- Evolutionary and corrective maintenance of components: bug fixing, processing optimization.- Management of versioning and automated deployments via Git, Bitbucket, Jenkins, XLR-Deploy.Technical Environment:Windows, UNIX, Oracle SQL/PLSQL, Stambia / Semarchy XDI, PowerDesigner, Jenkins, Bitbucket, Git, XLR-Deploy, JIRA, Confluence
- Mondial RelaySenior Data EngineerLOGISTICS AND SUPPLY CHAINNovember 2023 - April 2024 (5 months)Villeneuve-d'Ascq, FranceData Locker France (International Context)Data Team - 3 membersAs part of my mission within the Data team in the Mondial Relay France Locker team, I actively contributed to digital transformation and operational optimization through my data engineering expertise.My main achievements include:- Development and automation on Databricks: Designing Python and Spark scripts to automate real-time monitoring. This includes managing alerts for locker battery status, communication errors, siren triggers, and internal locker temperature monitoring.- Automation of CRM data historization to BigQuery: Implementing a pipeline for data transfer and analysis, including specific extraction queries based on operational needs.- Development of BI reports on Power BI: Creating interactive dashboards for the support team, facilitating the monitoring of locker deployment and incident ticket management.- Automation of data flows: Using Python on Google Cloud Platform (GCP), particularly via Cloud Functions, and integrating business processes in low-code (Integromat/Make, Power Automate) to generate alerts via webhooks on Teams.- Pipedrive CRM: Developing webhooks and APIs for real-time data extraction and tracking of CRM modifications, as well as their integration into a signed contract tracking system (Google Sheets/App Script) for the deployment team. This automated the tracking of ongoing deals and ensured a global view by integrating data from our installation partners.Key Skills: Databricks, Python, BigQuery, Google Cloud Platform (GCP), Pipedrive CRM, MAKE (Integromat), Power BI, Power Automate, APP Script.
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Education
- Test of English for International Communication (TOEIC) Full Stack BIG DATA Developer Python for Data Science and Machine Learning Bootcamp Scrum Foundations Professional Certificate (SFPC)Test of English for International Communication (TOEIC) Développeur Full Stack BIG DATA Python for Data Science and Machine Learning Bootcamp Scrum Foundations Professional Certificate (SFPC)
- BAC +5Ecole High-Tech2014BAC +5
Certifications
- Full Stack BIG DATA DeveloperFrance compétences2020
- Test of English for International Communication (TOEIC)ETS EMEA2023