À propos de Karim
Français
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Anglais
Bilingue ou natif
Chinois
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Expériences
- Saint LaurentData/Analytics Engineer — GCPLUXEoctobre 2024 - Aujourd'hui (1 an et 8 mois)Paris, FranceAs a Data/Analytics Engineer at Saint Laurent, I sit at the intersection of technical expertise and business understanding — working in direct collaboration with Supply Chain and Retail & Sales teams to turn their needs into production-ready Data Products on GCP.Our source system is SAP, which requires a deep understanding of its data model to extract clean, meaningful and business-ready outputs. From there, I own the full lifecycle of each Data Product: scoping with stakeholders, modeling in BigQuery, testing, CI/CD deployment and end-user adoption.All Data Products are built within a Data Mesh architecture, treated as standalone assets — governed, documented, and exposed either through PowerBI / ToucanToco dashboards or as self-service analytics.Supply Chain :Availability Rate — product availability monitoring to proactively detect stockout risksLaunch Planning — inventory readiness tracking aligned with collection go-to-market timelinesStock Visualization — stock level KPIs across products, regions and channelsWeeks of Coverage — forward-looking indicator to anticipate replenishment needsRetail & Sales :Weekly/Daily Sales Overview — daily & weekly store performance KPIsWeekly Retail Performance — KPI tracking across regions and channelsWholesale Sellout — sell-out visibility from wholesale partnersShopping Insider — digital performance consolidation from Google Ads & Google Merchant CenterTechnical scope:Source system: SAP → ingested and modeled on GCP / BigQueryELT pipelines with dbt (SQL, Jinja, macros) · CI/CD via GitHub ActionsGCP infrastructure as code with TerraformBigQuery optimization: partitioning, clustering, shardingAgile / Scrum on JiraStack: BigQuery · dbt · Terraform · Python · SQL · Git · SAP · PowerBI
- IBM FranceData Engineer — GCPLUXEjanvier 2021 - octobre 2024 (3 ans et 9 mois)Paris, FranceAs a Data Engineer at L'Oréal, I contributed to a large-scale SAP-to-GCP migration, transitioning legacy data infrastructure toward fully managed, serverless GCP services — improving scalability and reducing operational costs.Working closely with business stakeholders across Finance, Supply Chain and Customer domains, I translated business requirements into technical specifications and delivered end-to-end data solutions, from pipeline design to analytical reporting.Key contributions:SAP to GCP migration — implemented serverless solutions to replace legacy SAP data flows, improving scalability and cutting operational overheadData Warehouse design — built multiple data warehouses using BigQuery, Cloud Workflow and Cloud SchedulerREST API pipelines — designed and implemented multiple data pipelines integrating REST APIs on GCPCI/CD — set up deployment pipelines using GitHub, Cloud Build and TerraformAnalytical reporting — developed business reports in close collaboration with domain partners, ensuring alignment with Finance, Supply Chain and Customer data needsTechnical scope:GCP services: BigQuery · Cloud Storage · Cloud Pub/Sub · Cloud Tasks · Cloud Workflow · Cloud Scheduler · Firestore · Compute Engine · IAMInfrastructure as code: TerraformLanguages: Python · SQL (on Visual Studio Code, GCP VMs)Agile / Scrum on ServiceNow / Jira
- L'Oréal ChinaData Engineer — GCPLUXEmars 2023 - juin 2023 (3 mois)Shanghai, ChinaAs a Data Engineer embedded within L'Oréal China's Consumer domain, I worked on complex multichannel data challenges specific to the Chinese market — across offline stores and major online platforms including Douyin and Alibaba.Fluent in both Mandarin and English, I collaborated daily with cross-functional teams and Consumer domain analysts to ensure data solutions were tightly aligned with business objectives.Key contributions:Gift article mapping — designed and implemented data procedures to match 10,000+ gift items to their respective products across offline and online channels (Douyin, Alibaba), enabling accurate gift policy analysis and purchase behavior trackingConsumer analytics — integrated Consumer domain analyst requirements into scalable data solutions supporting strategic business initiativesData quality — ensured data integrity through rigorous testing across GCP and Databricks environmentsCross-cultural collaboration — bridged technical and business teams effectively across languages and time zonesStack: BigQuery · Databricks · GCP · Python · SQL
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Formations
- Master of Software & Information SystemsEFREI Paris2021Master of Software & Information Systems
- Associate's Degree in Computer ScienceIUT Paris Descartes2019Associate's Degree in Computer Science
Certifications
- Google Cloud Certified Professional Data EngineerGoogle2021
- Google Cloud Certified Cloud EngineerGoogle2021