CV du
consultant

BDD

ACCESS Azure BI CLOUDERA Data Databricks DBT Hbase HDFS HIVE MYSQL ORACLE POSTGRESQL Sqoop SSIS TERADATA Zookeeper

Connaissances fonctionnelles

Administration Banking Banque benchmark Budget Build Business Cloud Commodities CTI DAB dashboards DAT data analysis design DISTRIBUTION energie ERP Financial Français Investment IoT Kafka kpi Marketing media Microsoft MIDDLEWARE Neolane orion Performance pipelines PROCEDURES Production RabbitMQ REPORTING SOFTWARE Stream swagger TELECOM TESTS Tibco trading TWITTER UAT WEB workflows

Langages

ASP bash Batch C css Docker ELK Excel Hadoop HTML JAVA JQUERY KQL Microservices POWERSHELL PySpark PYTHON scala Scripting SHELL SOA Spark SpringBoot SQL TALEND TSQL WPF XML XSD

Méthodes

AGILE api Architecture DEVOPS elasticsearch Implementations integration Jenkins Kanban Management Maven MIGRATION Multithreading MVC MVVM SCRUM SOLID Support TDD TFS

Outils

airflow AKS Bamboo Grafana Helm Kibana MSTest Nhibernate Teams Unity

Réseaux et Middleware

ansible Express KUBERNETES Monitoring Security Terraform

Systèmes

APACHE APPS GIT INFRASTRUCTURE LINUX WCF WINDOWS

. 2010 - doctorat en informatique
. 2005 - ingénieur informatique

. Auvergne-Rhône-Alpes
. Bourgogne-Franche-Comté
. Bretagne
. Centre-Val de Loire
. Corse
. Grand Est
. Guadeloupe
. Guyane
. Hauts-de-France
. Île-de-France
. La Réunion
. Martinique
. Mayotte
. Normandie
. Nouvelle-Aquitaine
. Occitanie
. Pays de la Loire
. Provence-Alpes-Côte d'Azur
. Allemagne

Azure/Data Engineer
PhD - Data mining
Big Data Trainer
(Hadoop & Spark Certified)



EDUCATION and Certification
Aug. 2024 Databricks Certified Associate Developer for Apache Spark 3.0
Apr. 2015 CCD-410 Cloudera Certified Developer for Apache Hadoop (CCDH)
Feb. 2015 Cloudera Developer Training for Apache Hadoop, Xebia, France
4 days training for Hadoop platform.
2006 - 2010 Université Paris-Dauphine, France.
Doctor in computer science, topic “Large scale symbolic data processing” (Data Mining and knowledge mining).
2005 - 2006 Université Paris-Dauphine, France.
Master of research in computer science, field: Intelligent Systems.
2002 - 2005 Institut National de Statistique et d’Economie Appliquée (INSEA), Maroc.
Computer science engineer.


ABOUT THE CANDIDATE

TL; DR:
2016 -> Now: Software / Data (Big Data) / Azure Engineer
2010 -> 2016: worked as software engineer (Essentially Microsoft)
2006 -> 2010: work as R&D engineer

A bit more:
Got my PhD (in data mining) in 2010. I worked essentially on designing a specific statistical data analysis Model (called Symbolic Data Analysis, SDA). combined with, relational algebra, nested algebra. Hence to the algebraic soundness and completeness of the model a set of Statistical model algorithms (k-means and hierarchical clustering and other data mining / Machine learning) were designed with simple queries. All this were embedded in SQL SERVER using C#.

Then, I moved to the software industry working on different sectors (stock market, financial institution, Transport, Insurance, building, energy, media) as a software developer (essentially in .Net).

Since 2016, I am working on big-data/Azure projects as data engineer for massive data processing, data quality and data migration projects.

KEY SKILLS

Big Data development
Spark (java/scala/python), Hadoop, Map/Reduce, Hive, Kafka.
Cloud Computing (Azure)
HDinsight, Databricks, SQL Server/Azure, Azure Storage, Azure Kubernetes service (Docker), Azure App services, Service Bus, etc.
Microsoft
C# / .Net / Core, WPF (MVVM), EntLib, T4, WCF, Enity Framework / Core, ASP.Net / Core, MVC.
Project management
Agile (SCRUM, Kanban).
Software Craft
SOA, composite apps, reactive/event-oriented app, continuous integration, TDD, SOLID, KISS, mock.
Scripting
PowerShell, CMD, bash.
Miscellaneous
Couchbase, Oracle, Jenkins, ElasticSearch, Kibana, etc.

WORK EXPERIENCE

June 2019 Big Data trainer:
Technical & Functional introduction to big data.
Advanced Big Data: Store, Ingest, Access, Process and query data.
Advanced Big Data: Spark.


Since Dec 2024
Azure / Data Engineer / Developer at Saur, Industry, Paris, France (~1,5 year, full remote).



Mission: As a team member of TheFactory (5 people), my role was to design, integrate and develop solutions for our users (+15 teams), Medium/Large‑scale, cloud‑native data platforms on Microsoft Azure for batch and Realtime data pipelines. Additional operation related to (L3) support activities.

Design, operate, and evolve a multi‑layer Azure Data Lake architecture (Curated, Refined, Featured) on Azure Data Lake Storage Gen2.
Operate and maintain 230+ data ingestion pipelines using Azure Data Factory, over multiple data domains.
Develop and maintain batch data pipelines using Databricks (PySpark), Delta Lake, DBT, and Databricks Asset Bundles (DAB).
Build and operate real‑time, event‑driven apps using Azure EventHub (Kafka protocol) and Spark Structured Streaming on AKS (Kubernetes):
* Consume events from RabbitMQ queues,
* Enrich and transform streaming data (Azure EventHub/Kafka + spark streaming),
* Route processed events back to downstream RabbitMQ queues,
* Package and deploy streaming services using Helm,
* Reproducing local environment with Docker/Docker-Compose.

Operate and maintain Azure SQL databases by business domain (billing, contracts, assets, telemetry, customers), managing high‑volume datasets.
Integrate heterogeneous internal and external data sources, including ERP systems, public datasets, and operational platforms.
Export and partition Delta Lake datasets for analytics and operational consumption, ensuring robustness, auditability, and fault tolerance.
Automate CI/CD pipelines and release workflows across dev / rec / prep / prod environments using Azure DevOps templates.
Provision and manage Azure and Databricks infrastructure using Terraform and CDKTF (clusters, SQL Warehouses, Unity Catalog).
Implement end‑to‑end observability and alerting using Grafana, Azure Monitor, Application Insights, Log Analytics, and KQL.

Technical Environment: Azure Data Factory, Azure Data Lake Storage Gen2, Databricks, Delta Lake, DBT, Python, PySpark, Terraform, CDKTF, Azure SQL, RabbitMQ, Azure EventHub, AKS, Azure DevOps, Log Analytics, KQL, Helm, Docker/Docker-Compose, WSL/Bash, Az CLI, Databricks cli, Jinja2 Templates, Git.


Mar 2022 - Dec 2024
Azure / Data Engineer / Developer at KPN, Telecom, Amsterdam, Holland, (~2,5 year, full remote).


Mission: As a team member of DPPR (20 people), my role was contribute to design ( and support L1/L2/L3) solution for our users (+15 teams, +100 users) to be able to setup infrastructure in Azure to perform their data loading using a modern data organization (Data Mesh).
Onboard (and support) on-premise big data projects to cloud (Azure), during all the migration process; within a modern data organization
Maintain and evolve in-house framework to integrate sources and load data for raw, core, mirror layers and Teradata.
Enable new features: Azure services (AKS, HDI, Databricks, etc.), Oracle Golden Gate;
Enable custom features: Airflow, specific Spark features (e.g. dynamic allocation), etc.
Automate feature delivery and enablement (using code rendering jinja templates and custom yaml configuration)
Resolving security vulnerabilities.

Technical infra environment: Terraform, Azure HDInsight (4.0