Freelancer profile translated to English.

Description

With in-depth expertise in the design, implementation, and management of data architectures (Oracle, Big Data, Cloud since 2020), AAT excels in innovation and operational efficiency, creating high-performing and scalable solutions. Its key skills include: technical data expertise (multi-platform architectures), supplier relations (tenders, negotiation), project management (supervision, processes, MS Project), project monitoring (provider management, acceptance testing, training, guides), specialized technical skills (GCP, AWS, DevOps - Ansible, Kubernetes, Terraform, databases - Oracle, PostgreSQL, Big Data - Hadoop, Spark, languages - Python, SQL), and security/networks (Data Vault, virtualization). Its commitment to continuous improvement positions it ideally for technical Data and Cloud expertise missions.

Languages

French
Native or bilingual
Arabic
Fluent
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Spaceable
TECH LEAD DEVOPS
November 2023 - Today (2 years and 7 months)
Implementation of a DataMesh architecture on Google Cloud Platform (GCP) for a space operator wishing to modernize and improve its data management. The objective is to adopt a decentralized approach where each domain manages its data with centralized governance and common standards. This aims to facilitate the management of large volumes of spatial data while ensuring security, scalability, and performance of Cloud services. Objectives include deploying a flexible and scalable GCP infrastructure, adopting Infrastructure as Code (IaC) via Terraform for automation, and managing identities, access, and data security for the different teams (DataMesh).

The implementation includes configuring the GCP environment (integration of GKE, Cloud SQL, Bigtable). The IaC build with Terraform automates the creation and management of cloud resources, including service accounts, IAM policies, and organization rules for identity and security management. A shared Virtual Private Cloud (VPC) is deployed with subnets, firewall rules, and a router for better network segmentation and security.
Bouygues
Devops Expert
January 2019 - September 2022 (3 years and 8 months)
Mission: Implementation and operation of a Big Data platform to improve Bouygues Telecom's WiFi services. Context: Bouygues Telecom aims to optimize WiFi quality through the analysis of large amounts of data using a robust and scalable Big Data platform (ingestion, storage, analysis). Collaboration with internal departments (network, security, validation) and Sagemcom (supplier). Objectives: Collect, store, and analyze subscriber WiFi data. Improve WiFi performance (anomaly detection, optimization, support KPIs). Ensure platform availability, scalability, security, and daily operation.

Implementation: 1. Big Data Platform (25 servers including 12 VMs): Ingestion/processing infrastructure (Kafka to HDFS), consultation (HDFS, Tomcat). 2. EOLE Platform Monitoring: Coordination of Bouygues Telecom teams (compliance with specifications), interaction with Sagemcom. 3. Supervision: Zabbix Server (KPI configuration), Grafana/Prometheus (visualization). 4. EOLE Operation: Proactive monitoring (Zabbix), incident management, updates. 5. Deployment of Spark jobs (Batch and Streaming).
DBA ORACLE
DBA ORACLE
June 2017 - December 2018 (1 year and 6 months)
Mission: Migrate an identification system to a new architecture compliant with NIST security standards, protecting sensitive data (identity management).

Implementation: 1. Installation/Configuration of Grid Infrastructure 12c multitenant (Botswana): Oracle Cluster (2 nodes, high availability), dynamic resource management, secure database isolation. 2. Installation/Configuration of Database Vault and TDC (Singapore Airport): Strict access controls (Database Vault), encryption of data at rest (TDC). 3. Generation of NIST-type files (Malaysia, Botswana): Server configuration for processing/storage compliant with security standards. 4. Oracle Schema Implementation: Database design (tables, views, indexes, packages), server performance optimization. 5. Shell Scripting for Exports: Development of scripts (FULL, WEEKLY, MANUAL) for data backup/availability. 6. Application Optimization: Analysis/improvement of SQL/PL/SQL query performance, database instance tuning.