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Raphaël VELFRE

BONDY

En résumé

I'm a 24 years old engineer passionate by new data management technologies and in particular the big data ecosystem. I'm always looking for use case to make the big data ecosystem relevant :

- > Hadoop as the new Enterprise Data Warehouse (Data Lake, ETL engine, self-service BI)
- > Large Scale data analysis
- > Recomendation and predictive system

I'm interested in data gouvernance, applicative architecture and data science.
My experience has made me feel comfortable with team management.

Here are some of my skills :

---​ > Big Data​ :

 MapR (M5), Cloudera
 Hive, Pig, Sqoop
 Drill
 Elastic open source projects : Elasticsearch, Kibana
 Talend with Big Data
 Python (Using Pandas)
 R Programming (John Hopkins - Coursera)
 Data Cleansing (John Hopkins - Coursera)
 Thesis on Big Data made for CGI


---​ > "Classic" Data Management

 Informatica Powercenter 9.1.x
 Informatica Analyst
 Informatica Metadata manager
 Informatica Business Glossary
 Data Vault datawarehouse
 Editing functional specification
 Editing technical specification
 SQL

---​ > Human skills

 Offshore team management (India)

Mes compétences :
PIG
R
Python
HIVE
Hadoop
SQL
DRILL
Elasticsearch
Talend Open Studio
MAPR
Kibana

Entreprises

  • Darty - Responsible of Hadoop Project

    BONDY 2015 - maintenant I'm responsible of Hadoop project :

    Migrate all the mainframe applications, BI tools and more apps into Hadoop to lower storage price, create a unique DWH and leverage more value from the enterprise data.

    Build a CRM into Hadoop

    ---​> Environment:

     MapR (Hive, Pig, Sqoop, Drill)
     Elastic (Elasticsearch, Kibana)
     NodeJS
     Talend with Big Data

  • CGI - IT Engineer

    Casablanca 2012 - 2014 ---> Data Management : Establish a 360-degree client point of view :

     Management of 10 IT Engineers (Offshore team) : build Informatica process to ease country deployment
     Initialize Metadata Manager & Business Glossary to provide data lineage which will allow effective communication between Business and IT
     Data flux Optimization
     Informatica Powercenter 9.1.x developments including unit tests
     Reading & writing technical and functional specifications
     Maintenance team: ability to correct a production issue which means understand technically or functionally the source issue.


    ---> Big Data Thesis :

     The“old” data management (ETL,MDM,SOA) – define and describe
     Main differences between Data and Big Data?
     Big Data : Three use cases (Datawarehouse enrichment, prediction, real time event-detection)
     Big Data processing – new technologies and market players (Hadoop, NoSQL, Teradata…)
     What are the challenges?
     Defining moment : meeting with Doug Cutting (Hadoop founder, BigData Expo (Paris)

  • Steria - Stagiaire consultant junior BI

    Paris 2012 - 2012 Réalisation d'une étude de marché sur les principales solutions BI du marché (SAP, SAS, IBM, Oracle et Microsoft).

Formations

  • Grenoble Ecole De Management

    Grenoble 2012 - 2013 Bac +6

    en alternance

  • Concordia University ENCS (Montréal)

    Montréal 2010 - 2011 Echange universitaire d'un semestre

  • ESIEA

    Paris 2008 - 2013 Ingénieur (CTI)

Réseau

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