About Ayoub
Ces dernières années Ayoub est intervenu comme Consultant Tech Lead Data auprès de plusieurs clients dans le monde du Retail, l'assurance, le sport et l’aéronautique dans des missions de développement de solutions Data on-prem et Cloud.
Il a aussi eu l'occasion de développer des chaînes d'alimentations Big Data pour le programme de fidélisation Flying Blue du groupe Air Frane-KLM. Durant cette dernière expérience, il a collaboré avec des Data Scientists pour industrialiser des moteurs de recherches opérationnelles (Python, Java, SQL, Unix, Control-M, Cloudera (Hadoop, HDFS, Hbase, etc.), Teradata, AWS) de prédiction avec des enjeux Finance qui demande rigueur et précision.
Dans sa dernière mission pour IKEA Global, il est le Data & Analytics Lead d'une équipe de 22 personnes contenant 5 Product Teams avec une forte composante Data Engineering (GCP, DBT, Dataform, Terraform, SQL, Python, CI/CD) et un Produit Data Science dans la gestion des risques (Fraude) où il collabore avec des Data Scientists, Data Engineers, Software Engineers, PO, Engineering Manager et Business.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Toulouse (up to 50km), Toulouse (up to 50km), Marseille (up to 50km), Nice (up to 50km), Bordeaux (up to 50km)
Experience
- IKEALead Data & AnalyticsRETAIL (SMALL BUSINESS)August 2021 - Today (4 years and 10 months)Malmö, Sweden- Responsible for the implementation and application of Data & Analytics solutions within the product teams.- Engagement with Product, Tech, and Design Leads regarding resources and functionalexpertise required in product development to ensure most competent and suitable team.- Responsible for ensuring Data & Analytics resources, people and expertise for the product teams in a scope of (+5 Analytics products) through hiring the right talents or bringing in and managing vendors/contractors.- Leading, coaching and developing team members (+20) to secure people development, leadership and succession and a high performing team.- Co-defining the products roadmaps and OKRs.- Business Domains: Performance Management (Sales & Cost Steering), Risks & Compliance, Procurement, Financial Forecasting & Planning, Sales Order Management.Environment: Data Engineering & Science, GCP, Python, GitHub, Power BI, Scrum, SAFe, Atlassian Suite (Jira, Confluence, etc.).
- Air FranceBig Data EngineerAVIATION AND AEROSPACEMay 2018 - August 2021 (3 years and 3 months)Paris, FranceLead Data Engineer:- Design, development and maintenance of big data pipelines (Java/Spark), Data-lake (Cloudera) & Data-warehouse (Teradata) to support the needs of business stakeholders (Marketing, Finance, Communication, Internal controls, etc.) and other product teams.- Mentor and coach less experienced engineers and new joiners.- Take part of project scoping, architectural and security decisions.- Design & development of data visualization dashboards using SAP BO & Spotfire.- Provide data analysis studies.- Scrum Master: facilitate & coordinate the teamwork and connections with other product teams within the program (Backend, Frontend, API, etc.). Reporting to the program management.Consultant Data & Analytics supporting the Pricing Revenue Management of Air France-KLM Cargo:- Identify & prioritize business problems to enable data driven decision making in RM.- Elaborate the projects scope, deliverables and planning using Agile.- Extract, explore and share insights from data that reinforce, alter, or largely impact decisions on business, leading to increase the revenue.- Design, development and maintenance of data pipelines.Environment: Big Data (Cloudera: Hadoop HDFS, Hbase, etc.), Java/Spark, Unix, DWH Teradata, SQL,Control-M, Spotfire, SAP Business Object, Elasticsearch, Talend Data Catalog,Scrum, SAFe, Atlassian Suite (Jira,Confluence, Bitbucket, etc.)
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Education
- Ingénieur Informatique et RéseauxINSA