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Membre depuis le 11 février 2015
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Business Intelligence +9 years Experience Collect different data type from different sources (Database, csv file, excel file …), transform and load into the database. In our past experience, we collected data from more than 150 different sources, transformed them and loaded more than 1 billion records/day into the database. As tools, we use: Python, Nifi, TOS (Talend Open Studio), Talend Data Integration, Perl, SH and Sql Loader, SQL & PL-SQL, TAC(Talend Administration Center) Reporting/dashboard: Qlikview, Business Object, Excel supported data source : AS400, Access, DB2, EXASolution, Firebird, Greenplum, Générique, HSQdb, Hive, Informix, Ingres,Interbase,JavaDB,LDAP,MS SQL Server, MaxDB, MySQL, Netezza, OleDb,Oracle, ParAccel, PostgreSQL, PostgresPlus, SQLite, Sas, Sybase, Teradata, VectorWise, Vertica, eXist supported apps as data source : Algresco, Bonita, CentricCRM, HealthCare, Marketo, Microsoft AX, Microsoft CRM, Opren Bravo, SAP, SageX3, Salesforce, SugarCRM, VtigerCRM
$35 USD/hr
8 commentaires
  • 89%Travaux complétés
  • 100%Selon le budget
  • 100%Dans les temps
  • 25%Taux de Réembauche

Éléments du portfolio

Avis récents


Big Data Specialization : Mentor on Data process & Integration

Oct 2017

Assist students who are having issues on the following domains : - ETL issues - Big Data Processing and Integration issues

Data warehouse Architect

Feb 2010 - Feb 2015 (5 years)

Collect information from csv, mysql database, oracle database .. Transform and load them into the Data Warehouse Agregate all the information using perl, Java and PLSQL function/procedure Design custom reports for clients using Business Object, Qlikview, Excel and automate them


IT Engineer

2002 - 2007 (5 years)


IT Engineer (2007)

Polytech High School

IT Software Designer

Programming for Everybody (Getting Started with Python) (2018)

Coursera - University of Michigan

Programming for Everybody (Getting Started with Python)

Python Data Structures (2018)

Coursera - University of Michigan

Python Data Structures