Python Data Structures Certification -University of Michigan
This is my second certification on Python I got it from coursera certification courses programs University of Michigan
Mi perfil
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
