Datastage Developer Resume
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SUMMARY
- A Dynamic IT professional with 7+ years of work experience in Data Analysis, design and development of ETL applications.
- Actively involved in the Complete Project Life Cycle from user requirements, Analysis, Design, Development and implementation.
- Good understanding of Relational Database Management Systems like Data warehousing concepts, Relational Database Management Systems and Dimensional modeling (Star schema and Snowflake schema).
- Strong working experience on Data Warehousing applications, directly responsible for the Extraction, Transformation and Loading (ETL) of data from multiple sources into Data Warehouse.
- Extensive knowledge in handling slowly changing dimensions.
- Experience in Data warehouse development, ETL (DataStage), ETL testing, Data Stage implementations and support.
- Extensive hands - on using DataStage client components, DataStage Director, DataStage Manager (prior to 8x release), DataStage Designer.
- Familiar with new enhancements in the IBM Web sphere DataStage - Multiple Job Compile, Surrogate key generator Stage, Job Report, Message handler options.
- Expertise in Data Mirror with Datastage 8.1/7.5 using change data captures stage.
- Developed efficient mappings for data extraction/transformation/loading (ETL) from different sources to a target data warehouse.
- Proficient in all phases of the development lifecycle, coherent with Performance Tuning, Unit Testing, experience in design and implementation of Server and Parallel jobs including Job Sequencers.
- Strong interpersonal, written and verbal communication skills. Highly organized, detail-oriented professional with strong technical skills.
- Effective Interpersonal skills to co-ordinate and participate in a team environment and achieve organizational goals.
TECHNICAL SKILLS
ETL: IBM Data Stage PX/EE 8.1,Ascential/7.5.x, Manager, Designer, Director, Parallel Extender, MetaStage, Quality stages, Information Analyzer.
Dimensional Modeling: Dimensional Data Modeling, Data Modeling, Star Join Schema Modeling, Snowflake Modeling, FACT and Dimensions Tables, Physical and Logical Data Modeling.
RDBMS: Oracle 10g/9i, IBM DB2 UDB 8.0/7.0, MS SQL Server 2005/2000, Teradata 12, ODBC, MS Access.
Operating Systems: Windows XP/NT/2000/VISTA, UNIX (Sun Solaris, Linux, HP-UX, AIX)
Programming Languages: C, C++, SQL, PL/SQL, HTML.