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Ewelle RichardER

Ewelle Richard

Senior Data Engineer | Data Architect

€675/day
5 projects
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Ewelle

Hello,
With over 9 years of experience in data engineering, cloud computing, and DevOps, I have had the opportunity to collaborate with high-growth companies to design and implement scalable, secure, and automated data solutions on GCP, AWS, and Snowflake.

My mission: to help companies accelerate their growth by solving complex data challenges, building real-time analytical pipelines, ELT/ETL workflows, and high-performance cloud architectures.

My expertise primarily covers:
- Big Data & Cloud Technologies – GCP (BigQuery, Pub/Sub, Firestore), AWS (Redshift, S3), Snowflake
- Data Pipelines & Orchestration – Airflow, Dagster, Kafka, DBT, Airbyte
- DevOps & Automation – Kubernetes, Terraform, GitLab CI/CD, Docker, ArgoCD
- Security & Compliance – IAM, Service Accounts, Cloud Identity, Azure AD Sync

Let's stay in touch!


  • French

    Native or bilingual

  • English

    Native or bilingual

  • German

    Basic

Can work on-site
Paris (up to 50km)

Experience

  • The Creative Club
    Data Engineer
    E-COMMERCE
    December 2023 - Today (2 years and 6 months)
    Schenefeld, SH, Germany
    • Develop scalable data ingestion pipelines to integrate raw data from sources such asS3, Salesforce, SharePoint, Facebook Ads, Google Adsand on-premisesERPsystems into **Redshift**.
    • Design and implementELTpipelines for batch processing of supply, sales, and marketing data usingRedshiftand **SQL**.
    • Design, deploy, and administer a Kubernetes cluster viaAmazon EKSon **AWS**, for the deployment of **Dagster and Airbyte**.
    • Build and maintainCI/CDpipelines withGitHub Actionsto automate continuous deployment to **Kubernetes**.
    • Contribute to the migration ofRedshift ELTpipelines to Snowflake.
    • Ensure the transition of workflow orchestration from a customTypeScriptsolution to **Dagster**.
  • L'Oréal
    GCP Cloud Engineer
    May 2023 - September 2024 (1 year and 4 months)
    Paris, France
    • Contribute to the development of aPaaSsolution onGCP(BTDP), offering a service catalog to BTDP users, leveraging **FastAPI**, **Flask**, and **Terraform**.
    • • Set up secure and compliant access to L'Oréal's data systems by defining attribute-based access rules across multiple platforms, using **BigQuery**, **Firestore**, and **Workflows**.
    • • Enable IT organization and IT managers to effectively manage BTDP project budgets by integrating **Billing, Pub/Sub**, and **Notifications**.
    • • Design workflows to facilitate data import/export using **BigQuery**, **Cloud Storage**, **Firestore**, **Workflows**, and **Cloud SQL**.
    • Optimize user and group management by synchronizingAzure Active DirectorywithGCP Cloud Identityto manage group memberships.
    • Facilitate temporary access to resources such as a project, bucket, dataset, or group **(GoogleProject, CloudStorage, BigQuery)**.
    • Simplify access control to BTDP services by optimizingService AccountsandAzure Apppermissions through integrations withFirestoreand **Azure MS Graph**.
  • Europol
    ElasticSearch Consultant
    November 2022 - April 2023 (5 months)
    The Hague, ZH, Netherlands
    • Implement real-time ingestion of audit logs from multiple Europol applications, viaFilebeatand other agents.
    • Enable audit logging onElasticsearchandKibanato ensure robust tracking.
    • IntegrateAM Queuefor queuing, **Logstash**, and custom processing logic.
    • ImplementElasticsearchData Streams for scalable indexing and storage.
    • Build interactive dashboards in **Kibana**, including visualizations, alerts, and reports.
    • Migrate theELK stackfrom version 7.17 to version 8.9.
    • Deploy the solution onVMinstances withPuppet**, as well as on a **Kubernetescluster.

Reviews

5.0

Out of 2 ratings

AD

Account deleted

Reviewed on 8/2/2021

AD

Account deleted

Reviewed on 5/5/2021

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Education

  • Parcours Data architect : Data architect
    OpenClassrooms.com et de l’ Université Centrale Supélec de Paris, France
    2020
    - Conception des architectures Big Data avec la Lambda Architecture ( Hadoop, Spark, MongoDB, ElasticSearch) - Création de Data lake avec HDFS et Avro - Réalisation des calculs distribués sur des données massives (Hadoop, MapReduce, Spark, AWS, S3) - Gestion des flux de données temps réel avec Kafka et Storm - Maitrise des bases de données NoSQL (MongoDB, ElasticSearch, Kibana)
  • PhD in Computer Science: Serious Game Servers
    SMILE Team, I2S / UM2, Montpellier, France
    2015
    Architecture serveur pour jeux sérieux dans le cloud pour des dispositifs de basse performance - Analyse des besoins - Recherche bibliographique - Conception, réalisation et validation experimentale Trois publications scientifiques: https://scholar.google.fr/citations?user=w2vthXMAAAAJ&hl=fr

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