Data Modeler, Datastage Developer Resume
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CAREER OBJECTIVE:
To excel in the professional career as a good Software professional with constant learning, contributing and growing along with the organization.
SUMMARY:
- 8 years of working experience
- Thorough knowledge and work experience in Telecom domain
- Data Modeler experience with strong Conceptual and Logical Data Modeling skills, creating data mapping documents, writing functional specifications and complex SQL queries.
- Experience in Dimensional Data modeling for creating Logical and Physical Design of Database and ER Diagrams using data modeling tool ERWIN.
- Extensive experience in writing functional specifications, translating business requirements to technical specifications
- Onsite experience at client site - Telstra, Australia
- Experience in analyzing the business requirements and performing pre-feasibility analysis and initial analysis.
- Proficient in Development, Implementation and Support of ETL processes for Large-scale Data warehouses using Datastage and Teradata.
- Extensive knowledge in all areas of Project Life Cycle including requirements analysis, system analysis, design, development, documentation, implementation and maintenance.
- Effective communications/presentation skills for technical and non-technical audiences.
PROFESSIONAL SKILLS:
- 8 years of extensive experience in Telecom Domain
- 7+ Years of experience in Data Modelling
- 6+ Years of experience in Teradata
- 3+ Years of experience in Datastage
- Trained in R
- Trained in Hadoop technologies (Hive and Pig)
PROFESSIONAL EXPERIENCE:
Confidential
Data Modeler, Datastage Developer
Responsibilities:
- Involved in the PDM and LDM team as a Data Modeler.
- Involved in discussions with business stakeholders to understand their requirement.
- Responsible for analyzing business requirements and performing pre-feasibility analysis and impact analysis for a future change request.
- Involved in designing logical data model based on analysis of the requirement and feasibility analysis
- Design the physical data model based on logical data model, query performance and source data size.
- Design and create new tables and views based on requirements provided.
- Analyze and profile the source data flowing into these tables for making the design decisions.
- Design the ETL specifications sheet based on the rules in the data model.
- Analyze root cause and data loaded in the data warehouse, and provide solution to issues with the data loaded/to-be loaded
- Involved as a Datastage developer
- Create/modify jobs as per the requirements for critical interfaces.
- Create/modify Mload and Bteqs to help load data as per ETL specifications.
Confidential
Data Modeler
Responsibilities:
- Involved in the design team as a Data Modeler
- Discuss with all stakeholders and business analyst to understand existing process
- Design conceptual and logical data models based on the requirement
- Design and create tables and/or views in the physical data model by analyzing different access and join criteria.
- Analyze and profile the source data flowing into these tables for making the design decisions.
- Design the ETL specifications sheet based on the rules in the data model.
- Reviewing of physical data model design deliverables and ETL specifications sheet.
- Analyze root cause and data loaded in the data warehouse, and provide solution to issues with the data loaded/to-be loaded
Confidential
Data Modeler and Business Analyst
Responsibilities:
- Involved in the team as a Data Modeler and also a business analyst
- Involved in analyzing existing mapping documents and recreating them for new Hadoop platform
- Comparing existing datatypes and finding the appropriate datatypes in Hive
- Analyze loaded data and identify the root causes of issues if any
Confidential
Data Modeler
Responsibilities:
- Involved in the PDM team as a Data Modeler
- Design enhancements in the physical data model based on logical data model
- Design and create tables and/or views in the physical data model by analyzing different access and join criteria.
- Analyze and profile the source data flowing into these tables for making the design decisions.
- Design the ETL specifications sheet based on the rules in the data model.
- Reviewing of physical data model design deliverables and ETL specifications sheet.
- Analyze root cause and data loaded in the data warehouse, and provide solution to issues with the data loaded/to-be loaded
- Involved as a Datastage developer
- Create/modify jobs as per the requirements specified in ETL specifications sheet.
- Troubleshoot these jobs in case of any issues like jobs failing, or loading wrong data etc.