Freelancer profile translated to English.
Back to original languageAbout Mohamed
I help companies to make their data flows reliable, automated, and optimized to transform complex systems into efficient steering tools.
With over 8 years of experience in Data Engineering, I work on data integration projects and the implementation of Big Data pipelines. I support business and technical teams in critical environments with a clear objective: to deliver stable, maintainable, and quickly usable solutions.
I have worked on projects involving:
migration of over 1000 SSIS/SSRS flows, data integration using Talend, PySpark / Airflow / DBT pipelines development, SQL performance optimization, and Power BI reporting creation.
I primarily master:
Talend, PySpark, Airflow, DBT, SQL, BigQuery, Power BI, Salesforce, SSIS, SAP BO, Docker, and cloud data environments.
My approach is results-oriented: reliable flows, improved data quality, and industrialized processing to secure your projects in the long term.
Available for a quick video call to understand your needs and propose a tailored solution.
Arabic
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- GEODISData Engineer Big DataTRANSPORTATIONAugust 2024 - Today (2 years)Le Bourget, France-> Mission Objective:Strengthen the team during the absence of a key resource (maternity leave), I take on the responsibilities of Team Lead - Data Engineer, combining team coordination, operations supervision, and process optimization.-> Achievements:• Supervision and backlog management: Organization and prioritization of tasks, ensuring continuity of deliverables.• Operational Maintenance (MCO): Management of the production environment, ensuring end-to-end stability and performance, from data integration to retrieval.• Incident Management: Proactive resolution of level 2 and 3 incidents, with a continuous improvement approach to reduce recurrence risks.• Access Administration: Management and security of access via EPM Oracle for optimal compliance.• Production Deployment: Planning and execution of updates and evolutions to meet business needs in a dynamic environment.• Strategic Reporting: Facilitation of key meetings (Steering Committees, Technical Committees) and presentation of performance indicators, contributing to informed decision-making.
- AkkodisData Engineer TalendHEALTH AND WELLNESSMay 2024 - August 2024 (3 months)Lyon, France-> Mission Objective:Joined the Data/Salesforce team to enhance data integration capabilities into Salesforce, meeting the needs of several clients.-> Achievements:• Handling necessary updates and optimizations to improve the performance of data integration processes into Salesforce.• Close collaboration with project managers to define business needs, propose relevant solutions, and facilitate communication between technical teams and stakeholders.• Responsibility for project cost estimation, task tracking, and writing detailed reports for stakeholders, ensuring transparency and efficiency in project management.
- GL eventsData Engineer TalendDecember 2022 - May 2024 (1 year and 5 months)Lyon, France→ Mission Objective:Overhaul of a Talend ETL solution with significant performance issues and blocking processes. Optimization of data flows to reduce processing times, make integrations reliable, and allow for the integration of a larger volume of files into Salesforce.→ Achievements:• Optimization of Talend DI ETL processes and redesign of data flows, significantly reducing processing times and eliminating batching tasks that impacted business teams.• Implementation of advanced SQL queries on SQL Server, MySQL, and Oracle with performance optimization, diagnostics, and improvement of data exchange quality with Salesforce.• Writing technical specifications and collaborating with business teams to ensure integration reliability, improve maintainability, and accelerate platform evolution.
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Education
- Data EngineerLe Wagon2024● Maîtrise complète des piles de données modernes et des techniques de conteneurisation avancées. ● Compétences techniques acquises : Python, Docker, GitHub, GCP, BigQuery, PostgreSQL, Fivetran, Airbyte, Kubernetes, dbt. ● Pratique réelle : configuration d'entrepôts de données, gestion de bases de données PostgreSQL, mise en œuvre de pipelines ETL avec Airflow et dbt, et déploiement d'applications avec Docker. ● Expérience en transformation de données avec PySpark, streaming avec Kafka et Pub/Sub, et optimisation de workflows avec Apache Beam. Un parcours intensif pour devenir un expert en ingénierie des données, capable de piloter des initiatives data-driven dans des environnements technologiques complexes.
- Professional Bachelor's degree in Decision-Making Professions, specializing in Computer Science, Decision Statistics, and Big DataAix-Marseille Université2019Licence proffesionnelle en métiers décisionnels , Parcours Informatique, Statistiques Décisionnels et Big Data
Certifications
- Agile Software Development: Scrum for DevelopersScrum.org2023
- Azure Data Factory For Data EngineersUdemy2022