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Amadou LamineAL

Amadou Lamine

Big Data and ML Solutions Architect

€750/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Amadou

Solutions architect specialized in big data and machine learning projects.
I have proven experience with Hadoop, Spark, Trino, Apache Beam, SQL, NoSQL solutions. I have deployed complex data solutions on AWS and GCP cloud platforms using both containers and VMs. I have been involved in all stages of data engineering, from design to implementation, and I am particularly proficient in data ingestion, data cleansing, modeling, training, visualization, and industrialization tasks. Therefore, I can assume roles of lead architect and lead developer and offer quality services.
  • French

    Native or bilingual

  • English

    Fluent

  • German

    Basic

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

Experience

  • Xinfratech
    Architect on Cloud & Big Data Projects
    TELECOMMUNICATIONS
    January 2021 - Today (5 years and 7 months)
    Paris, France
    Experience – Cloud & Data Architect (Azure / Databricks)

    I worked as a Lead Architect on several Cloud and Data projects, with a role covering architecture, migration, and automation:

    Cloud & Infrastructure:
    Deployment and migration of workloads in Azure (VM, Azure SQL, Data Lake Gen2), network configuration (regions, zones, subnets, IAM), Kubernetes interconnections via Ingress Controller.

    Data Engineering & Analytics:
    Implementation of data processing pipelines in Azure Data Factory, integration with Synapse Analytics and Stream Analytics / Kafka, connection with Data Lake Gen2, exploitation of DC logs and metrics for operational analysis.

    CI/CD & Automation:
    Creation of CI/CD pipelines in Azure DevOps, version management and integration under Git, monitoring with Azure Monitor.

    Storage & Resilience:
    Implementation and configuration of Data Lake Storage Gen2, implementation of redundancy methods (LRS / GRS) to ensure resilience and continuity, management of Storage Accounts.

    Databricks:
    Deployment and configuration of Databricks clusters, integration with various data sources, preparation of environments for data science and machine learning.
    GCP Dataflow Cloud Run BigQuery Cloud Scheduler
  • ORANGE
    Architect on Hosting, Big Data Cloud and On-Premise Projects
    TELECOMMUNICATIONS
    May 2007 - August 2021 (14 years and 4 months)
    Experience – Big Data & Cloud Architect (GCP / On-premise)

    I participated in the implementation of on-premise and Cloud Big Data foundations, with projects oriented towards Telco and Insurance:

    Design and deployment of Data Lakes and Data Warehouses (MariaDB, Hadoop, Spark, Cassandra, Kafka), then migration to BigQuery and Databricks for batch & streaming.

    Deployment of GCP Big Data services (Dataflow, Dataproc, BigQuery), orchestration and automation via Terraform, containerization with Docker, deployment on Cloud Run and GKE.

    Implementation of network and security architectures on GCP and OpenStack (VPC, subnets, Internet Gateway, application migration).

    IoT Projects: sensor data ingestion, collaboration with ML teams on XGBoost models, evaluation by Recall/AUC/ROC, visualization via a React frontend for business teams.

    Infrastructure & DevOps Architect role: design of Kubernetes / Red Hat OpenShift platforms, creation of HLD/LLD, vendor PoCs, load tests and performance benchmarks.

    Java EE Development: creation of enterprise applications with IBM tools of the time (WebSphere Application Server, Rational Application Developer), management of servlets/JSP, EJB, integration with relational databases.

    Microsoft ETL & BI: implementation of integration and transformation flows in SQL Server Integration Services (SSIS), design of analytical cubes with SQL Server Analysis Services (SSAS), production of reports for business users.

    Cross-functional projects: participation in application migration projects, optimization of SQL batch processing, implementation of scheduled jobs and monitoring.
    MySQL Hadoop Spark OpenStack OLAP

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