Description

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.

Langues

Français
Bilingue ou natif
Anglais
Bilingue ou natif

Préférences en matière de lieu de travail

Accepte de travailler sur site

Toulouse (jusqu’à 50 km), Toulouse (jusqu’à 50 km), Marseille (jusqu’à 50 km), Nice (jusqu’à 50 km), Bordeaux (jusqu’à 50 km)

IKEA
Lead Data & Analytics
COMMERCE DE DÉTAIL
août 2021 - Aujourd'hui (4 ans et 9 mois)
Malmö, Suède
- Responsible for the implementation and application of Data & Analytics solutions within the product teams.
- Engagement with Product, Tech, and Design Leads regarding resources and functional
expertise 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.).
Google Cloud Platform (GCP) Python Data science Power BI Scrum SAFe
Air France
Big Data Engineer
AÉRONAUTIQUE & AÉROSPATIALE
mai 2018 - août 2021 (3 ans et 3 mois)
Paris, France
Lead 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.)