SUMMARY:

• A senior Enterprise Information Management professional with over eighteen years of experience spanning consulting, business development, delivery and operations across industry domains.
• Rama has provided technology leadership in areas such as Data Management (Data Integration, Data Quality, MDM, Data Stewardship and Governance),
• Business Intelligence (including creating/establishing BICC), Data Visualization and Confidential .
• He has led large, enterprise - wide transformational programs, operations, managed budgets and handled geographically dispersed teams.
• He exhibits high energy, strategic thinking and results orientation. He has a management style that is collaborative and believes in servant leadership.

PROFESSIONAL EXPERIENCE:

Confidential, Fort Lauderdale, FL

Technical Program Manager

Responsibilities:

• Deliver Big Data Products for the Confidential Risk Technology Confidential using MAPR distribution using
• Apache Hadoop projects such as Hive, HBase, Oozie etc., APIs and Machine Learning Algorithms.
• Function as a Scrum Master facilitating sprint planning sessions, user story grooming sessions with the product owners, daily standup meetings, help maintain burndown chart, setting up retrospectives, sprint reviews etc. using tools such as Clarity PPM, Rally, ServiceNow etc.
• Perform portfolio management including financial forecasts and resource management

Responsibilities:

• Practice Development - Hired and managed data integration consultants
• Business Development - Was responsible for a BD target of $3 M
• Build Solutions Accelerators and Assets including Healthcare Confidential Gateway that was created to compress the long lead-time to load data into IBM’s Healthcare Provider Data Model and subsequently into high-value analytic use cases by leveraging pre-built IBM DataStage templates. It populates a rich set of subject areas within the data model including Patient, Practitioner, Organization, Procedures, Diagnosis, Clinical Findings, Survey, Claims and others.
• Helped Healthcare clients such as Confidential of MA and Confidential with enterprise data integration solutions.

Confidential, St. Louis, MO

Practice Director

Responsibilities:

• Big Data: Lead the standing up of 35 node cluster using Cloudera Distribution; Led Proof of Concept projects as well as Production Implementation and Support.
• BI Health Assessment/Roadmap Consulting Assessment including Tool Evaluation POC, Microsoft Power BI Dashboards POC etc.
• Implementation of Master Data Management (MDM) solution for the Party Domain (Credit and Debit Card Issuers, their Accounts and affiliations) using Informatica MDM Hub Console for Match and Merge using Match Rules, Trust Settings and Validation Rules. This also involved in setting up data governance and stewardship processes.
• Informatica Data Integration Hub POC
• Support Data warehouse environments on Oracle Exadata and Netezza platforms

Director and Center Manager

Confidential

Responsibilities:

• HN ClaimSphere Confidential: Developed in collaboration with a large Confidential insurer. This Payer analytic solution focused on the cost of care, membership, and utilization management Confidential . It included built-in Payer data models (ODS and ADS), Key Performance Indicators (60+), Reports (100+) and executive dashboards using Oracle, Informatica and Business Objects.
• A centralized, near-real-time enterprise data warehouse built on a Teradata platform for one of the largest health benefits company in the U.S., provides an integrated and accurate view of health profiles of its members to deliver timely and effective health care at an affordable cost by integrating multiple sources of data into a single enterprise wide data model.
• Customer Profitability NextGen Platform Implementation for a large U.S. Banking client using DataStage and Oracle BI 11g
• CFO Dashboard (consisting of Sales, Headcount, OPEX, CAPEX, P&L, Margins, Zone-wise performance etc.) and Ready Reckoner reports implementation for a Life Insurance client using Cognos BI tools
• BI Platform Consolidation for a Confidential Investment & Technology Development firm
• Central Data Management platform implementation for European Asset Management firm
• Design and implementation of the technology framework that meets the critical requirements pertaining to data acquisition, integration, delivery and management
• Data domain - Sourcing client and product reference data as well as fact data from various source systems
• User groups - Delivering key MIS reporting to senior executives and business COOs

Senior Manager

Confidential, NJ

Responsibilities:

• Enterprise wide CRM & Confidential implementation for a major Confidential (with various product lines such as Auto,
• Home, Life, Small business and Commercial) using Siebel and Oracle BI (OBIEE 10.1.3.3). This included defining the data integration strategy involving disparate source of data from various Confidential companies, data modeling, KPI definitions and their governance, ETL and report/dashboard design and development.
• Definition of customer and account profile data strategy by gathering, assessing and synthesizing input from key stakeholders.
• The customer data came from various sources such as SAP Financials, Siebel CRM and other syndicated data sources.
• Development of MDM policies and procedures (e.g. WPDs, Match/Merge rules), ensuring that they are accurately documented and meet compliance requirements
• Proactively work with stakeholders to identify business process changes and opportunities where master data may be used as well as ensure master data governance
• Proactively update and validate business rules and manage change requests
• Collaborate with Customer Data Warehouse (CDW) team to ensure customer master data is accurately provisioned in the CDW
• American Multinational Pharmaceutical Corporation (Pfizer), CA, USA: As a Project Manager, ensured successful upgrade of the Development Information Factory (DIF) data warehouse platform from Informatica 6.2.2 to 8.1.1. The DIF platform enabled strategic decisions that would improve clinical trial operation performance in regards to cost, speed, and quality as well as decisions pertaining to acquisitions and organizational changes. DIF is also the reference source for several master data subject areas as part of their Confidential Research & Development Informatica program.