SUMMARY

• Demonstrated experience in driving Big data and analytical roadmap for the business; defining both strategy and vision
• Strong problem solving and analytical skills to define metrics and KPI for complex business requirements.
• Certified Project Manager with solid understanding of project lifecycles for multi - stage long-term Big Data, BI and Data warehousing strategic initiatives in Agile project environment
• Proven track record of end-to-end implementation of top notch data management solutions leveraging both Big Data and traditional Business intelligence/data warehousing technologies
• Excellent communication skills and the ability to influence guide and articulate with senior management and stakeholders
• Experience of capability building, leadership and team mentoring. Managed team size of 10 onsite resources (solution architects/Bas) and 50 offshore resources (developers)
• High level of business and financial acumen, with proven ability to manage scope, budget and contracts administration
• Highly skilled at planning programs and projects, building team, setting direction, mentoring, and fostering a team-centered culture.
• Tool agnostic Big data, Business Intelligence and Data warehousing professional
• Expert knowledge and experience in designing and implementing warehouse architectures, BI platforms and analytics applications
• Solid architectural understanding of the Big Data ecosystem and Distributed Architectures
• Hands-on experience in working with various Big Data technologies like Hadoop (CDH, HDP), NoSQL (Hbase), Pig, Hive, Impala, Sqoop, Flume, Spark, Kafka, AWS
• Sound hands-on knowledge across a combination of the mainstream Business Intelligence and Data Warehousing toolsets (ie: OBIEE, Tableau, Cognos, SQL Server/Oracle and the relevant ETL toolsets such as Informatica)
• Extensive experience in Data Visualization, Data Discovery and Mobile BI using tools like Tableau and Qlikview
• Strong data modeling skills (conceptual, logical, physical model design).Experience with DW / ODS / Data Marts
• Good knowledge all aspects of information management including Data Governance, Data Acquisition, Data Warehousing, Enterprise Master Data Management and delivery of information via various tools.
• Experience with ETL tool, including complex load processes, data profiling, metadata management, DQ functions for address cleansing.

TECHNICAL SKILLS

Big Data: Hadoop (Cloudera, Hortonworks), NoSQL (Hbase), Pig, Hive, Impala, Sqoop, Flume, Spark, Kafka, AWS

BI: Oracle BI, Tableau

Database: Teradata, Oracle,MS SQL Server

MDM: Oracle UCM, Informatica MDM

CRM: Fusion CRM/Oracle Sales Cloud, Siebel, Salesforce.com

Others: H20, Google Analytics, Erwin, JIRA, Clearcase, SOAP UI, MQ Series, Good Domain Knowledge of Financial Services, Telecom, Media, Retail, Sales, Marketing, Call Center, Service

PROFESSIONAL EXPERIENCE

Confidential

Big Data SME

Responsibilities:

• Driving the Big Data roadmap for the business; defining both strategy and vision. Get roadmap buy-in from all stakeholders like engineering, field, customers and executives
• Analyzes customer business goals, objectives, and existing architecture and developing solutions and strategies
• Lead, participate and contribute during each phase of the presales process e.g. account planning, opportunity qualification, PoC planning, proposal creation, in tight cooperation with the sales and account team
• Provide thought leadership in support of design and implementation of a big-data platform. Lead in the transformation from structured to unstructured data, evaluating new technologies and approaches leading to scalable, Big Data data platforms.
• Project Management, Delivery and Estimation in Agile and waterfall project environment
• Build and mentor team consisting of Solution designers, Business analyst and developers for implementing big data solutions.
• Ensure adherence to continuous improvement practices as required meeting quality / time to market imperatives.

Confidential

Senior Manager (BI, Data warehousing, Big data)

Responsibilities:

• Work with portfolio risk teams (Credit Cards, Personal Loans, Small Business, Overdrafts and Collections) to define the monitoring requirements
• Define and develop BI and Data warehouse Architecture
• Develop automated suite of reports that enable Head of Unsecured Risk, CRO and heads of various products to monitor product portfolios.
• Work with Centralized Data Solutions Group to build data-marts underlying the monitoring requirements
• Prepare project proposals for new business initiatives

Confidential

Senior Manager (BI, Data warehousing, Big data)

Responsibilities:

• Define, establish, and execute against strategic delivery roadmaps, actively managing technology risks, issues and impediments
• Build and lead cross-functional Agile teams to create and enhance software that enables state of the art, business critical data management solutions
• Collaborate with business teams, senior executives and other users to define and manage scope and project prioritizations
• Analyze customer business goals, objectives, and existing architecture and develop solutions and strategies forBI and Analytics requirements
• Big Data
• Compared major Hadoop distributions (Cloudera, MapR, Hortonworks etc) and Big Data solution (IBM, Oracle, HP, Teradata, AWS) for internal Confidential Big data competency. Demonstrated and presented the same internally as well as to various clients.
• Migrated existing ETL solution to Hadoop platform and active archive older compliance data to Hadoop
• Designed and Developed Next Generation Analytics using Cloudera/Hive/Tableau for a major Telco company. Combined CDR and CRM data in Hadoop to build data foundation for advanced analytics on customer 360 degree view and network performance
• Architected recommendation engine for ecommerce website
• Accountable for multiple business intelligence and data warehouse initiatives with Westpac group implementing new functionality and capability to support Westpac business activities and remediation of existing capability. Some keys projects delivered
• Define the data warehouse architecture and technical requirements, and the design of the consolidated data model
• Provided inputs for driving all aspects of information management including Data Governance, Data Acquisition, Enterprise Data Warehousing (EDW), Enterprise Master Data Management, and delivery of information via various tools
• Oracle BI/Informatica/Teradata/Oracle database
• Designed and implemented on Retail banking reporting solution using Oracle BI in Agile project environment
• Managed remediation of existing Compliance Reporting of the Westpac Anti-Money Laundering Program using OBIEE
• Designed and implemented Sales, Service and Marketing reporting solution using Oracle BI /Siebel
• Tableau/SQL Server/Salesforce/Google Analytics
• Lead the selection, rollout and adoption of Data Visualization tool. Managed and implemented Westpac’s Tableau server implementation for Data discovery and Visualization. Provided guidance to Business on Tableau architecture and system usage
• Designed and Build DRTV Media Analytics solution using Tableau for a Media client
• Designed and Build Digital Campaign Analytics solution using Tableau, Salesforce and Google Analytics for a digital data Agency
• Cognos/Business Object/Oracle database
• Enhancement and performance improvement of Group Risk Reporting solution which provide its customers with information to support the communication of the credit portfolio’s performance using Cognos
• Enhancement and Migration of Business Object’s based St George Group Reporting system.

Confidential

Senior Product Manager

Responsibilities:

• Manage all aspects of the product including product design, specification and product roadmaps
• Analyze market trends relating to the product domain in order to determine market positioning and contribute to long-term product requirements
• Gather and Analyze requirements in “Sales” and “Marketing” business area from internal and external customers of Siebel Sales CRM.
• Study and leverage functionality of internal products like Siebel Sales CRM and competitor products like Salesforce.com, Microsoft Dynamics and Net suite.
• Gather and translate analytics business requirements into report and dashboard GUI designs, including creation of requirements prototypes
• Developed functional and design specifications for Fusion sales CRM and related analytics. The specification includes identifying key business flows, product features in scope, use cases, logical data model and security requirements.
• Working with Development and QA team to ensure functional goals are met.

Confidential

Senior Consultant (Siebel CRM and OBIEE)

Responsibilities:

• Provided functional and technical solution for user requirements. In the process was engaged in solutioning and gap analysis (to identify if the solution to user requirement is available in Siebel vanilla solution and if not then how Siebel vanilla can be configured using Tools Configuration, Scripting, Workflow, Assignment Manager and EAI)
• Design and implementation of integration of Siebel and SAP using Siebel Tools and Siebel eAI provided adaptors (BAPI/IDOC)
• Design and implemented complex integration with other upstream and downstream systems leveragingSiebelEnterprise Architecture Integration (EAI), MQ Series middleware and Web services (SOA)
• Build business requirements for operational and analytical reporting
• Define and develop physical and logical data models to support reporting needs
• Responsible for design and development of ETL processes using Informatica
• Create high level solutions for reporting using OBIEE

Confidential

Technical Consultant (Siebel CRM)

Responsibilities:

• Participate in CRM functional scoping exercises and acts as solution designer for a smooth transformation of business requirements.
• Configuration and Scripting
• Integration of Siebel CRM with upstream and downstream systems like provisioning and billing
• Data migration using Enterprise Integration Manager from legacy system to SiebelCRM.