Daniel Lowry
Data Migration Consultant at Capgemini
Based in London, United Kingdom
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Seniority
Staff
Department
Information Technology
Location
London
Industry
IT Services and IT Consulting
Company size
332K
Contact information
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d•••••••@••••••.com
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Background
About Daniel Lowry
ETL data migration consultant with strong communication skills, 4 years of experience in ETL and 4 years of experience in business intelligence. I have worked on migrating legacy and current systems into both on-prem and cloud environments using T-SQL via SAP BODS ETL tool. I am experienced in technical analysis/requirements gathering, creation of documentation and ETL design specifications. I am experienced in creative problem solving, testing and debugging. My experience has been to standardise ETL processes and tools to automate accurate data extraction and manual reporting, reducing number of man hours across the business. I have strong communication skills, and excel at working directly with senior internal and external stakeholders to end-users. I am adept at communicating meaningfully to both technical and non-technical clients, which lends well to working collaboratively with others. Skills: • ETL Development • ETL Testing and Code Review • T-SQL Programming and Querying • Full lifecycle data migration experience • SAP BODS ETL tool up to and including version 4.2 (Installation, Upgrade, Analysis, Design, Build, ABAP Dataflows, Modification, Parameterisation, and Quality Control). Major transforms including: Merge, Obfuscation, Map Operation, Pivot, History Preserving, Key Generation, Table Comparison, Data Transfer, Power BI integration. Sources – Idoc, XLS, XML. • SAP S/4 Hana • BUSINESS OBJECTS XI 4.0, XI 4.1, 4.2 Enterprise (Designer, Supervisor, Explorer, Broadcast Agent, Broadcast Agent Publisher, Desktop Intelligence) • WEB INTELLIGENCE XI 4.0, XI 4, 4.2 • Azure • Master Data Management (MDM) • Microsoft Office Suite (Sharepoint, Visio, Excel, VBA) • AWS (inc Datasync, S3, Cloud 9) Methodologies Used: • Bottom-up data warehousing (Kimball) • Top-down data warehousing (Inmon) • Hybrid data warehousing • Waterfall project management • Agile project management
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