PROFILE:

• Experienced in management, processing and utilization of data for business.
• Experience in leading project teams through the analysis, design, development, testing, implementation, and maintenance phases of data warehouse, Big Data, data mining, data integration, Master Data Management(MDM), BI & Analytics and legacy migration solutions across several industries, including Aviation, Consumer Products, Healthcare, Federal, and State.
• Led and managed team of three to twenty (20) resources for Confidential and several fortune 500 companies.
• Familiarity with budget and cost management, risk management, and conflict management practices.
• Remarkable ability to manage multiple programs and projects, in an effective manner.
• Immense ability to develop and deliver business investment cases and fluid business cases for technical projects, efficiently.

COMPETENCIES:

Data Management, Data Architecture, Data Science, R, Big Data, Cloudera Hadoop Administrator, SQOOP, Map Reduce,, Oracle, Amazon Redshift, MySQL,, Erwin, Legacy Migration/Conversion, Modernization /ETL, Data Modeling, MDM, Business Intelligence (BI), Data Mining/Analysis, Master Data Management, Data Warehouse and Information Exchange (NIEM)

Program Management, Project Management, Risk Management, Technology Management, Capabilities’ Analysis, Stakeholder Engagement

Federal Government, State Government, Travel (Time - Share), Retail, Healthcare, Manufacturing

TECHNICAL TOOLBOX:

Cloud: AWS, AZURE

CRM/ERP: Salesforce, SAP

Big Data: Amazon Redshift, Pentaho, Talend, Cloudera

Database: Oracle, Microsoft SQL Server, Netezza

Business Intelligence /Analytics: OBIEE, Pentaho, Tableau

Platforms: Microsoft Windows, UNIX, Linux, HDFS

Language/Tools: PRO*C, PL/SQL, SQL, Oracle Enterprise Manager OEM, TOAD, Shell Programming, R

Methodologies: RAD, Agile, Waterfall, Iterative

Data Modeling: Erwin, Rational Data Architect

Data Integration: IBM Info Sphere, Pentaho, Talend Oracle Data Warehouse

Project: MS Project, Earned Value Analysis.

PROFESSIONAL EXPERIENCE:

CHIEF/SENIOR ENTERPRISE BIG DATA ARCHITECT

Confidential

Responsibilities:

• Set up, directed and managed data management team and data management advisory council.
• Assisted with reconciliation of legacy information system’s architecture.
• Maintained compliance to established regulatory requirements, business continuity requirements, quality standards, privacy, legal and ethical policies.
• Provided management oversight for the resources, budget and delivery of core technology services.
• Conduct stakeholder management to ensure effective communications and enterprise data alignments with program offices and customers using different software development methodology i.e. RAD and Agile.
• Leads and manages technology specific assessments and Architecture Decision Memo (ADM). Provide technical advice to the Confidential senior management and other program managers across Confidential .
• Lead design of Enterprise data Warehouse (EDW), MDM, Data Governance, Data Quality and front-end business intelligence/Analytics effort.
• Evaluated hardware, database vendors, Big Data vendors, Data Integration-ETL vendors and BI & analytics vendors to choose the best fit for agency’s big data, data warehouse and BI requirements.
• Designed and built a dimensionally modeled enterprise data warehouse using Pentaho Big Data for the in-house development environment. Then built the production environment using Amazon AWS EC2, S3 and Redshift services. Also integrated R into Pentaho Big Data Analytics for statistical analysis.
• Supports building Technical POCs/Solutions onBigDataplatform using Talend Big Data.
• ConfiguredPentahoBig Data Analytics on cloud server
• Set short term and long term program priorities and goals to meet mission and business data needs.
• Collaborate with multiple stakeholders at multiple management’s levels across department and component agencies to ensure data alignment and information sharing efficiencies and opportunities.
• Manage development of Big Data Pilot using Pentaho Big Data, Talend Big Data, MySQL, Oracle, Netezza and Tableau.
• Reviewed $600M high-profile, modernization Program from data perspective, helping program to secure funding for next phase by recommending approval of design to CIO that replaces six very high volume legacy systems to provide person-centric enterprise vetting services.
• Led development and implementation of enterprise data standards and Business Intelligence (BI) for Confidential .
• Developed Enterprise data (database) model, naming standards, interface and data sharing standards.
• Developed of Business Intelligence (BI) Target Architecture and BI Analysis of Alternative (AoA
• Led development of ETL AoA, Big Data Strategy, Master Data Management (MDM) and Data Quality Plan.
• Established data governance process in Confidential .
• Manage all phases of Enterprise Data/Information Management (EIDM) program including planning, budgeting, executing, monitoring, resources balancing, and closeout.
• Managing acquisition, procurement strategy, evaluation factors, source selection plan including preparing project budget, cost Estimation (IGCE), J&A and Market Research for multiple programs/projects to maximize benefit of investment.
• Develop enterprise data management Statement of Work (SOW)/Performance Work Statement (PWS) approximately more than $ 6 million annually.

SENIOR DATA ARCHITECT/LEAD ENTERPRISE DATA WAREHOUSE

Confidential

Responsibilities:

• Managed enterprise data management and enterprise Data Warehouse program including Project planning, budgeting, executing, monitoring and resource balancing. Performed resources-leveling and schedule crashing to expedite project deliverables.
• Managed Data Warehouse, Business Intelligence and Analytics, Data mining, Unstructured content/ data/information and Database Administration team including government and contract staffers. Benefitted Confidential to standardize databases, reduce redundancies by discovering data assets, and reduce deployment timeline of business capabilities.
• Provide advanced technical direction to the maintenance of existing databases supporting applications business process.
• Led and supervised Data Warehouse team. Recommended Data Warehouse team Performance and HR actions to CIO.
• Maximized capital investment ROI by managing and leading enterprise Data Warehouse efforts, database design and data migration efforts using agile and iterative approach. Data Warehouse efforts helped Confidential to decide locations for new stores based on sales growth and crime areas based on past cases. The migration efforts helped Confidential to timely decision making. Developed Data Warehouse briefings, status reports, and earned value analysis and communicated weekly and monthly basis to CIO and other senior management staff.
• Provide database support for all the Confidential systems/ applications as Senior DBA. Developed and enforced naming standards. Developed and test database recovery and restore, and archival plan.
• Implemented first Oracle 9i Real Application Cluster (RAC) in Confidential and in the VA state, maximizing data and information availability to business by reducing downtime.
• Developed and Led first Data Warehouse in Confidential and in the VA state used SQL Server, MySQL and Oracle.
• Initiated Data Warehouse, Master Data Management (MDM), Business Intelligence and analytics (BIA) and Data Mining, Unstructured content/information efforts using Software Development Life Cycle (SDLC) in Confidential .
• Helped business to make quick and timely decision, reduced inventory and timely supply of products.
• Led first Data Warehouse implementation in Confidential and in the VA state, maximizing data and information availability to business by reducing downtime.
• Led Mission Critical/Essential Project to stabilize the high volume transactional Data Warehouse loading procedures and Improved Performance of Data Extraction, Transformation and Loading (ETL) using SDLC. Project completed on time and ETL performance increased 6 times (ETL daily refresh used to take 5 to 6 hours reduced it to 1 hours, Batch job times improved from 4 hour to 1 hour for tax applications and Monthly batch jobs improved from 72 hours to 12 hours).
• Received very positive review all the five years.