SAP
Data Services Professional
Canada
|
·
More
than 12 years of experience in implementing Data Integration and Business
Intelligence solutions ·
Highly
skilled in the design and development of ETL data integration solutions ·
Data
warehouse development and modeling experience ·
Highly
skilled in Business Intelligence system study, design, development and
implementation of applications ·
Well-rounded
experience with both Data warehouse architectural design and development
experience both on the data and solutions development sides ·
Design
and Develop complex Extract Transform and Load (ETL) solutions by translating
detail design requirements into feasible technical BI implementations ·
Expert
knowledge in data cleansing ·
performance and tuning of ETL processes and preparation of business and
technical documentation. perform quality review of
all ETL Solutions. ·
Mentor
and lead other ETL developers to insure best practices and optimal BI
solutions. ·
Ability
to analyze source data for potential data quality issues and address these
issues in the ETL procedures ·
Experience
implementing Data warehouse projects following the Business Dimensional
Lifecycle/Kimball method ·
Ability
to effectively communicate information, both verbally and written, to end
users and executive management ·
Sufficient
knowledge to identify and help avoid pitfalls associated with data
warehousing and ETL processes specifically ·
Capable
of documenting ETL subsystem architecture and prepare a design document that
is easily understandable to less technical individuals ·
Expertise
in data warehousing techniques for Data profiling, Change Data Capture, Data
Cleansing, Slowly Changing Dimension, surrogate key assignment ·
Expertise
in Data analysis, Data modeling, Database design, Data migration, and
Business Intelligence solutions. ·
Data Warehouse Expert with 12 years of experience designing and building Data Warehouses and the
ETL Processes that load them. This includes Staging Layer, Integration Layer
and Reporting Layer. Data modeling techniques used are Dimensional and
Normalization. ETL Process Modeling includes business process and data. ·
Provided advanced Data Warehouse Concepts, Strategies
and subsystems like Change data capture system, Data profiling system, Data
cleansing system, Slowly Changing Dimension (SCD) processor, Late arriving
dimension handler, Fixed hierarchy dimension builder, Multivalued dimension
bridge table builder, Junk dimension builder, Batch processing & load
balancing system ·
Extensive experience in deploying full life cycle
projects including Designing security Architecture, Requirement Gathering,
Data Analysis, Data profiling, Finding Business processes, designing Bus
Matrix, Designing ETL Job Execution Plan, Source-to-Target Mapping,
Information Delivery Design, selecting Development Methodology, setting
design guidelines, Metadata architecture, Testing standards for data
validation, establishing change management procedure, designing Go-Live
process and designing user training. ·
BusinessObjects Integration Kit
for SAP - SAP Authentication, Secure network Connection (SNC), Encryption
& Secure Network Communication, Trusted authentication, Single sign-on
(SSO), Client connection to BOE ·
Experience in projects in different countries / regions
such as USA, Canada, Singapore and India Establishing
Vision and Strategy:
Business Requirements Assessment Role: Played a lead role
in the deployment of the BO toolset, Building, testing and implementing ETL,
Business Objects Universes, reports to meet requirements, Enhancements and
Performance tuning. Architect: Enforcing Service
Oriented Architecture (SOA) design Designing
Infrastructure:
Provided Architecture design, Security Model, Performance and Sizing Sources: DB2, Oracle 10,
SQL Server 2005 Data
Modeling:
Creating Data Marts for different business processes (ER Win) ETL: Extraction
Transformation and Loading the data from different sources using SAP Business Objects Data Integrator XI R2
(BODI) and SAP BusinessObjects Data Services XI 3.1 Universe and Reports: There are 12 Universes, 200 reports and 500 users Data: Source System
Analysis, Data Mapping, Universe Design, Report Development Testing: Architecture,
Security Model, End User Acceptance Skills
Development Planning: Implementation Team and End User Training Proof
of Concept (POC) and Migration to SAP - Business Objects XI 3.1 Integration. Creating Business Objects
environment for SAP BW sources
Businessbjects Products: SAP
BusinessObjects Data Services XI 3.2 Business
Objects CMC,
SAP
BUSINESSOBJECTS DATA SERVICES
Create a Foundation for
Enterprise Information Management
SAP BusinessObjects Data Services
includes comprehensive functionality that can help you do the following:
SAP
BusinessObjects Web Intelligence
SAP
BusinessObjects Dashboards
Use pre-built templates and samples to expedite dashboard design and deployment. |