À propos de Sirageddine
Sirageddine ZAOUAM is a Senior Data Engineer/Architect based in Paris. He is a professional and dynamic individual with dual expertise in Data Engineering and Data Architecture. With a focus on Data Engineering, he has acquired solid experience in developing complex ETL (Extract, Transform, Load) processes and data pipelines.
In the field of data architecture, Sirage excels at creating efficient and scalable data architectures that meet the specific needs of businesses while ensuring data privacy and security. Additionally, he actively participates in pre-sales meetings and contributes to the development of client proposals.
Additionally, he has extensive experience in cloud technologies, particularly in Azure (Azure Data Factory, Databricks, Synapse, etc.), and holds certifications such as the Microsoft DP-203 Azure Data Engineer, showcasing his commitment to staying at the forefront of industry best practices.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- CFAOSenior Data EngineerAUTOMOBILEavril 2024 - septembre 2024 (6 mois)The objective of this BI project is to design and deliver Power BI reports using data sourced from a Microsoft Dynamics database. The project will involve creating an ETL pipeline to integrate the data into an Azure data warehouse, followed by the development of a complex data model in Analysis Services.Responsibilities:- Participate in client meetings and analyze their needs- Take part in pre-sales meetings- Update and improve the BI architecture (best practices)- Integrate data from Dynamics ERP into Azure- Develop data integration and transformation pipelines- Update and model data (AAS Cube)- Integrate the project into a CI/CD pipeline and create releases- Implement and develop Power BI reports- Monitor the BI production chain and resolve issuesServices: Azure Data Lake, Synapse, Microsoft Dynamics, Azure Analysis Services, Power BI, Azure DevOps, Key VaultTechnological Stack: SQL, DAX
- Suez FranceSenior Data ArchitectENERGIEoctobre 2023 - Aujourd'hui (2 ans et 8 mois)Paris, FranceProject description:Develop a Dashboard Network TCO (Total Cost of Ownership) to provide a centralized overview of network costs, enabling seamless business decision-making and cost savings.Responsibilities:• Providing pre-sales support and addressing customer technical and business inquiries.• Leading and facilitating client meetings.• Analysing the call for tenders.• Developing the commercial proposal and providing an Azure cost estimation.• Proposing the most suitable solution.
- Flemish GovernmentData Engineer/ Data ArchitectSECTEUR PUBLIC & COLLECTIVITÉSseptembre 2022 - Aujourd'hui (3 ans et 9 mois)Bruxelles, BelgiqueProject description: Migration and modernization of 3 Azure Data platforms for Batch & Real-time Data Analysis.Responsibilities:• Participating in customer meetings to comprehend their needs and requirements.• Collaborating with data product owner and data managers to understand businessrequirements and translate them into technical solutions.• Designing the Functional and Technical target data architectures using a lambda architecture (Hot and Cold path).• Designing, developing, and maintaining data pipelines and ETL processes to ingest,transform, and load real-time data from Iot data sources into the target data platform.• Deploying, Configuring, and administering the Azure data platform.• Building robust CI/CD pipelines to automate builds and deployments.• Developing a secure Python Web Application & Rest API in Azure to expose data to external users.• Estimating and optimizing Azure Data Solutions costs.Services:Iot Hub, Azure Stream Analytics, Azure SQL Database, Azure Data Lake Storage Gen2, Power Bi, Grafana, Logic App, Data Factory.Technology stack: SQL, Pyspark, Python, C++.
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Formations
- Master's Degree Data Management in Large Scale Distributed SystemsUniversity de Paris Saclay2020Master's degree in Big Data & Analytics, program in partnership with the University of Versailles-Saint-Quentin, the National School of Computer Science for Industry and Business (ENSIIE) and the University of Evry. - Programming: Java, Python, SQL, Scala, PySpark - Databases: SQL, MySQL, MongoDB, Oracle, Cassandra. - Machine Learning: Supervised learning, unsupervised learning, model evaluation and optimization. - Data integration: Data integration architectures (eg mediation, data warehouse), data warehouse refresh process, OLAP operations and ETL tools. - Data Architectures : Storage and indexing of data, evaluation and optimization of massive processing, NoSQL systems. - Data quality: Analyze and improve data quality. - Data and service management in the Cloud: Introduction to different types of Cloud services (IaaS, PaaS, SaaS), deployment models (Private, Public, Virtual, Community, Hybrid), Cloud architectures and standards (Docker, OGF OCCI, OASIS TOSCA). - Database Conception/ Design.
- Bachelor of Technology in Computer ScienceUniversité de Paris Nord- Sorbonne2018The skills acquired : - Strong knowledge of mathematics and computer science. - Ability to implement a multidisciplinary scientific approach in computer science and mathematics, - Rigor, capacity for conceptualization. - Acquisition of a broad scientific culture - Skills in computer, digital and statistical data processing - English proficiency.