ETL Architect Resume

PROFILE SUMMARY

Certified ScrumMaster and an expert in providing thought leadership and employing Agile Scrum framework.
Consulting experience in Data Governance, Data Quality, Metadata Management, Data Warehousing, Data Integration, Data Conversion and ETL Design.
11 years of consulting experience using enterprise ETL platforms like Informatica and Pentaho (PDI Kettle/Spoon).
Implementation experience in multiple Oracle BI Apps (OBIA) modules; HR Analytics, Project Analytics, Financial Accounts Payable (A/P) Analytics.
Consulted for multiple diverse industries like Accounting, Infrastructure & Construction, Food & Beverage, Transportation, Healthcare, Insurance, Financial Service Organizations, Consumer Electronics, Government and Utilities.
Fluent in spoken and written English.

TECHNICAL SKILLS:

Business Intelligence: Implementation and Delivery of Data Integration and BI projects involving Enterprise Resource Planning (ERP Systems) EBS (Oracle E - Business Suite), Oracle PeopleSoft and integration wif source Systems like SAP CRM for Utilities (Customer Relationship and Billing), Mainframe Legacy System conversion projects etc.

ETL Platforms: Informatica (wif OBIA), PowerCenter 9.6.1, Informatica Metadata Manager 9.6.1, Informatica PowerExchange for SAP NetWeaver, Informatica PowerExchange for VSAM, OBIEE OBIA 7.9.6.4, and DAC 11.x

Languages: SQL, PL/SQL, Python, Linux/Unix Shell Scripting

DBMS: Oracle 11g, Microsoft SQL Server 2014, PostgreSQL 9.4.6, DB2

OS/Environment: Red Hat Linux, AIX UNIX, Windows Server

PROFESSIONAL EXPERIENCE

Confidential

ETL Architect

Responsibilities:

Responsible for ETL, Data Integration, Delivery and QA; to enable smooth System Integration and User Acceptance Testing.
Experienced Data Integration Architect wif ETL Design and managing / mentoring developers.
Acting as a liaison techno-functional between business, and IT and provide thought leadership to resolve complex problems.
Responsible to help transform customers into an agile mindset and provide coaching to stakeholders and team members on scrum methodology and agile best practices.
Advising and supporting the customer on Data Integration best practices and methodologies.
Building full lifecycle data solutions for the customer to help facilitate reporting.
Implementing end-to-end Data Management and BI solutions for support customers in all the phases including Requirements, Build, Test, and Delivery (Go-Live Cut-Over).

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