Big Data Developer Resume

SUMMARY:

Technology leader with over 25 plus years of deep knowledge and expertise across a spectrum of technical disciplines including data modeling, data warehousing, data integration, data quality, data governance, analytics and big data platforms.
Domains of experience include Retirement Services, Reinsurance, Insurance, Energy, Nuclear, Banking, Manufacturing, Transportation, Agriculture, Pharmacy, Health Care, Financial, State and Federal government.
Excellent communicator, leverages technical and business acumen to communicate effectively with client executives and their respective teams.
Experience working in diverse background and cultures.
Excellent knowledge in Data Governance, Basel I, II and III.
Establishing standard and guidelines for data definition, data naming and metadata.
Extensive experience in offshore - onshore coordination, technology transfer, strategic alliances and other business partnerships and managing large cross-functional teams.
Strong global leadership skills in technology and strategic planning and solutions.
Excellent knowledge in Logical, Physical, Semantic and Dimensional Modeling.
Excellent knowledge in Leading and Managing Data Governance, Data Architecture, Data quality, Data Modeling, Data and MDM (Master Data Management) Initiatives.
Excellent knowledge in business process architecture methods and translating results into system requirements, communicating non-technical business details to the executive staff, while supplying the technical requirements and details to the development staff.
Extensive experience in implementing Enterprise Data Warehouse solutions, Business Intelligence Solutions, High Availability, Disaster Recovery and Business Continuity Planning.
Extensive project experience in all phases of the Software Development Life Cycle.
Extensive knowledge in working with the ETL teams and helping them with ETL mapping and best practices.
Screening, Interviewing and hiring FTEs and Contractors.
Excellent knowledge of Big Data platform Hadoop and NoSQL databases.
Highly analytical Architect with “big picture” vision willing to work with management, staff and customers to understand complex requirements.

TECHNICAL EXPERTISE:

Operating Systems: Suse Linux, HP UNIX, IBM AIX, Red Hat Linux, Sun Solaris

Databases: Teradata, ORACLE, SQLBase, Sybase, SQL SERVER, DB2, UDB, IMS

NoSQL: Cassandra, MongoDB Big Data, Hadoop Ecosystem, Cloud Computing

Languages: C, C#, Java, SQL, PL/SQL, Pro*C, COBOL, Pascal, Basic, SQL Loader

Business Intelligence: Cognos, Micro strategy, Oracle OBIEE, SAS, Tableau

ETL: Oracle Data Integrator, Data Stage, Ab Initio, Informatica

Modeling: Erwin, UML, Use Case, ERD, IBM IDA, Enterprise Architect, Power Designer

Project Management: SDLC, SOX, Waterfall, Spiral, Agile

Industry Models, Framework: Teradata FSLDM, IBM IIW & BDW, IFW, Zachman

MDM Tools: Teradata MDM, IBM MDM, Rochede, IBM Buisness Glossary, Information Analyzer

Others: Toad, Sql Navigator, Pl/Sql Developer, Sql Assistant, Autosys, Connect Direct (NDM), SOA, Teradata Load Utilities, Visio, Primavera P6, Big Data, Hadoop. Oracle Revenue Management and Billing

PROFESSIONAL EXPERIENCE:

Confidential

Big Data Developer

Responsibilities:

Excellent communicator, leverages technical and business acumen to communicate effectively with client executives and their respective teams.
Experience working in diverse background and cultures.
Excellent knowledge in Data Governance, Basel I, II and III.
Establishing standard and guidelines for data definition, data naming and metadata.
Extensive experience in offshore - onshore coordination, technology transfer, strategic alliances and other business partnerships and managing large cross-functional teams.
Strong global leadership skills in technology and strategic planning and solutions.
Excellent knowledge in Logical, Physical, Semantic and Dimensional Modeling.
Excellent knowledge in Leading and Managing Data Governance, Data Architecture, Data quality, Data Modeling, Data and MDM (Master Data Management) Initiatives.
Excellent knowledge in business process architecture methods and translating results into system requirements, communicating non-technical business details to the executive staff, while supplying the technical requirements and details to the development staff.
Extensive experience in implementing Enterprise Data Warehouse solutions, Business Intelligence Solutions, High Availability, Disaster Recovery and Business Continuity Planning.
Extensive project experience in all phases of the Software Development Life Cycle.
Extensive knowledge in working with the ETL teams and helping them with ETL mapping and best practices.
Screening, Interviewing and hiring FTEs and Contractors.
Excellent knowledge of Big Data platform Hadoop and NoSQL databases.

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