Freelance

Big Data, Software Engineering & Domotics

Big Data & Azure Cloud Developper

Liquidity management and optimization
Looking for new business trades and opportunities (Mid & Long term)
Stock screening (Shariah compliant) , monitoring, bench, charting

Islamic Equity Investment (USA/EUROPE)

Société Générale

•	Trainer: As a big data trainer, many training formats where organized for different audience and purpose.
o	Internal/corporate training : produce and present resources (java, scala, spark, hadoop, hbase) for data project teams (56 attendees, 7 sessions) to level up their skills in big data projects (5 days training), in-site.
o	Public training: 2 different training formats, big data fundamentals (1 days training session) and advanced (2 days training session), remotely.

•	Data Project Migration & onboarding: onboard data project to migrate to Azure platform, against establishment data governance (Data Mesh) and other technical constraints (security, scalability, etc.)

•	Data Quality (DQ): Enhance existing App/framework for DQ on the data lake, for each data project,
o	Management of Azure’s stream
	Ensure coherence of azure target solution with on-premise solution, 
	Onboard team to setup cloud native solution (or migrate from on-premise)  to include DQ inhouse solution to their data project.
	Evangelisation and technical workshops

o	Other technical daily tasks
	Setup and maintain airflow workflows (dags, python, livy), 
	monitoring DQ metrics, performances benchmarking with ELK, dashboarding with Kibana,
	Enhance (with features), maintain (bugs, and issues) and integrate (against data governance constraints) DQ solution for Azure and On-premise (ansible, java/scala, microservices in Kubernetes, data mesh, HDI)
support/release.

Technical infra environment: Azure Service EndPoint Policy, Azure App Certificate, Azure HDInsight (3.6 / 4.0), Azure Kubernetes service (ingress, deployment, service, secrets, pvc), CosmosDB, Azure Sql Server, Postgresql, Azure Data Lake Store (Gen2), Queue, Table, Virtual Machine Desktop, Elastic search, Kibana.


Technical soft/dev environment: java, scala, Spark, Spring-boot, Spark/Hadoop, livy, Zepplin, Airflow (Dags in python), swagger, Git, PowerShell / bash.

Azure and Big data developer 

COLAS Digital Solutions - SPEIG

Mission: My main role is to contribute, as a team member, to build up from scratch a set software based on Microsoft (asp.net core mvc) and Cloud Technologies (web apps, functions, sql azure, ServiceBus, etc.) and deliver business features (front and back ends) in agile (Scrum). Some features, are data oriented and, requires to ingest and process data for report delivering. Data concerns: trucks locations, fuel consumption etc. raised by embedded devices [IoT], asphalt production, WattWay [IoT], etc.

Technical environment: .Net, Azure Sql Server, Azure DevOps, Azure WebApp, ASP.NET Core MVC, Templates ARM, Azure ServiceBus, Azure App Service, Azure Data Lake Store, Windows, Git, Team Foundation Server, PowerShell.

Azure developer

Mappy

Mission: Belonging to the BI team, my role is to develop data pipeline, charts and dashboards for requested data insights (servers perf monitoring, Api usage, user behaviors, etc.) for the whole internal teams (Infra, dev, marketing, etc.) and external partners (clients, top management, etc.)
•	Maintaining and implementing:
o	new map/reduce jobs in Hadoop and their tests (java & MrUnit),
o	Spark jobs in Scala,
o	Unit & integration tests,
o	data pipelines in sh scripts,
o	orchestrating data processing jobs with Jenkins jobs and shell scripts;
•	Managing the Data Lake: managing Hive tables (in parquet/csv format) containing logs, perf servers, measures;
•	Indexing data using Elasticsearch;
•	Data viz integration using Kibana, and Tableau, for reporting: servers’ performances, audience, and other KPI;
•	Support for data scientists.

Data Engineer / Data Analyst

SeLoger.com

Mission: Belonging to a transversal team (eCrm), my role is to implement, integrally or partially, data science process, using many different data sources, for Marketing department:
       •	Implementing machine learning algorithms from scratch (collaborative filtering, recommendation system) targeted for geographic department, user segmentation, data featuring, rule based classification;
       •	Implementing and maintain .Net batches (one shot and scheduled) 
              o	for team’ internal use like data extraction (Couchbase, javascript, N1QL), massive mail sending (Neolane),
              o	or marketing business requirement (mail campaigns), etc.;
       •	Setting up data pipelines (with SSIS) and workflows;
       •	Integrating data sources from Couchbase, data bases, flat files, etc. provided by the DMP (kafka, zookeeper) databases and consolidated in the Data Lake (sql server moved to hdfs in Hadoop’ cluster). 
       •	Visual studio add-ins to mutualize internal development patterns and practices.
       •	Benchmarking data aggregation with Flume vs periodic data extraction.

Technical environment: C#, SSIS, sql server, Kafka, Zookeeper, couchbase, windows server, linux, .Net, Git, VS2015, PowerShell, Python, Hadoop (Cloudera), Python Tool for VS, AzureML, Azure Machine Learning Studio, Linux (CentOs).

Data, Machine Learning Engineer 

GDF SUEZ Trading

.Net developer at GDF SUEZ Trading, La Défense, France.
Mission: Develop (within BEE entity) a new app Omega for gas asset management (Sale/Purchase, distribution, optimization, production, etc.). I’m involved as scrum team member for 
•	Maintain and deliver new functionalities.
•	Unit and acceptance automatic tests.
•	Integrating in an internal formula computation engine new math functions.
•	Dev and Integration environment app delivery.

Technical environment: C#, WPF (MVVM), sql server 2008 R2, T-SQL, WCF, Moq, TFS 2010, VS 2010/2015, PowerShell.

.Net Developper

Mutuelle des Architectes Français assurances

In the larger context of decommissioning the old information system, I was enrolled as a .Net developer in two .Net projects (intra and extra net apps) for selling insurance contracts. 
My tasks were 
       1/ to maintain and deliver new functionalities of the above apps as team member, considering technical constraints such as web browser compatibility (IE 7, 8, 9, 10, 11, Chrome, Firefox, Safari) for the MVC web app for instance;
       2/ to provide app support for users targeting different environment: prod, hom, dev, etc.;
       3/ to provide monitoring tools: performance indicators.
Technical environment : c#, ASP.net (MVC 5), Silverlight (MVVM), MEF, EO.Pdf, JQuery 1.10, CSS 3, Html 5, web api 4.0, twitter bootstrapper 2.3, sql server 2008 R2, T-SQL, WCF, data services, Entity Framework 5.0, log4net, Moq, TFS 2012.

.Net developer

Artza Technologies

Charged to manage and lead R&D projects development.
As a manager, i'm in charge to recruit and validate resources to achieve development goals, assign and scheduling user stories to iterations (scrum). 
 
As a tech leader I was enrolled in development process with the roles of Scrum Master and team member. I supervise and participate in scrum iterations: task decomposition, task evaluation, code review, problem solving, architecture design for Rich Desktop and Internet Applications, 1/3 and 2/3 architecture application, IDE integration by Creating Add-ins and Wizards for Visual Studio 2012.

Technical environment : .Net 4.5, WPF, WCF, MVVM, EntLib, Prism, EF 5, Silverlight, ASP.Net, MVC 4, RIA Services, C#, T4 templates, EnvDTE for VS 2012

R&D Director

Groupe ADP

Price fixed Project : implementing an Airport Resources Manager.
• Technical architecture : 2-Tiers Architecture, WCF (dual binding), client WPF ( .Net 4.5, Prism, MVVM, Unity), server (console, service windows, Win server 2008), Oracle 11.2 ( Entity Framework 5.0, Oracle Data Provider).
• Development méthodology: Scrum, TDD (MSTest, Moq, TestRunner, tfspreview).
• Writing technical document : software architecture, technical environment, deployment process, etc.
• Supervising functional documents. 
• Technical refering in a team of 4 developers.

.Net Developer

Banque de France

• Develop,  maintain and package ( Item templates , project templates and vsix) a shared technical framework (based onUnity et EntLib) for building Rich applications such as patterns [ MVC (ASP.NET), MVVM (WPF), SOA, IoC, Composite Applications, muti-threading, data provider, dual binding (for WCF), etc.], and windows docking manager (AvalonDock) for WPF apps.
• Technological foresight related to framework development practices.
• Technical lead assisting project managers at differents steps of the live cycle project developement.
• Monitoring and managing .net projects in Dev, Hom et UAT environment withing Sofact/Bamboo.
• CTI member advising and validating project managers and project team members during the software design phase.
• Tools and software benchmark.

.Net Software Architect

TL;DR

Working remotely ( 90% of time)

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

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). 

Got my PhD (in data mining) in  2011; 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#

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