SUMMARY:

Collaborative problem solver identifying hidden value for clients in Big Data within insurance, health care, energy and manufacturing domains. Expert in architecture, design and deployment delivering customer - focused results. High-performing multitasker, motivating cross-functional teams to perform with excellence and quality. Translate complex technical options into easy to understand concepts to satisfy customers’ needs. Strong communicator possessing exceptional analytical and project management skills.

STRENGTHS IN:

• Big Data
• Data Warehouse
• Sales Support
• Data Engineering & Analytics
• Data Migration
• Data Security
• Data Governance
• Agile Project Management
• Business Intelligence

TECHNICAL SKILLS:

Operating Systems: Windows, Linux, AIX, Solaris

Languages: Python, JavaScript, .Net, HTML, XML, JSON, SQL, PL/SQL

Relational Databases: Hive, Oracle, DB2, Netezza, SQL Server, MySQL, Google Spanner

Distributed NoSQL databases: HBase, BigTable, DynamoDB

Distributed File systems: HDFS, S3, Google cloud storage

Distributed Computing Environment: Hortonworks, Cloudera, Amazon EMR, AWS S3, AWS RDS

Data Flow: NiFi, MiNiFi, Sqoop, Flume, Kafka

Security: LDAP, AD, Ranger, Knox, Atlas, HDFS Encryption

Data Governance: Atlas, Falcon

Operations: Ambari, ZooKeeper, Hue

Scheduling: Oozie

Public Cloud: AWS, GCP, Confidential Bluemix

BI tools: Quicksight, Cognos

ETL tools: Trifacta, Pig

Application servers: WebSphere

Data modeling tools: Erwin

PROFESSIONAL EXPERIENCE:

Confidential, Dublin, Ohio

Cloud Data Architect/Senior Solution Architect/Information Architect

Responsibilities:

• Lowered manual verification costs of meters saving client millions of dollars through completing Big Data Production Installation of IFE solution Connectivity Model (CM) in Hortonworks, along with generating analytical model reports by ingesting Oncor utility client data.

Big Data Architect/Senior Solution Architect/Information Architect

Confidential

Responsibilities:

• Completed Hadoop Big Data installation of IFE solution for DTE, including Situational Awareness, Asset Health, Wind farm optimization, enabling DTE to increase profitability and reducing supply interruptions that resulted in better customer satisfaction.
• Completed Big Data installation in Confidential Cloud for Kennametal POC, increasing tool life, profitability and market share using agile methodology.
• Minimized customer churn along with increasing cross sales, profitability and market share for clients, as result of designing, implementing data marts for POCs as well as ingesting and curating client data to complete data analytics for Confidential retail, insurance and utility clients.
• Contributed to marketing of Watson Analytics, PMQ and IFE solutions, aiding sales team to win leading edge technology contracts.
• Managed Confidential InfoSphere Master Data Management (MDM) installations in multiple environments and product training for Ford IT division, adopted DevOps methodology to increase cross sales and enable Ford to have single trusted view of customer to avoid duplicate sales and service promotions communications.

Confidential, Dublin, Ohio

Lead Data Architect/Information Architect

Responsibilities:

• Led data architects and ETL conversion team to complete migration of legacy pharmacies data into EBS suite and enhancing functionalities, resulting in decrease in number of interfaces to manageable level, reducing procurement and delivery cost as well as exceeding promised service-levels.
• Designed and developed canonical models to support Service Oriented Architecture (SOA) that led to enterprise data integration, achieving 70% reduction in number of interfaces.
• Led validation workshops with senior stakeholders from client business and IT community providing firsthand experience in addition to providing ability to review of new system functionalities.

Confidential, Pittsburgh, PA

Managing Architect

Responsibilities:

• Enhanced efficiency of Pan-European multi-million dollar ERP ETL conversion project through development of semi-automated scripts, enabling easy creation of physical models with agreed extract file layouts.
• Built once and implemented many times approach was adopted while deploying this solution to all European countries, resulting in minimized time taken and maximized returns on client’s investment.

Confidential

Enterprise Architect, Data Integrator and Data Architect

Responsibilities:

• Met Enterprise architecture demands and provided unified view to corporate stakeholders through designing and implementing Zen compliant party model to support Confidential system.
• Modularized design that enabled decoupling of policy, claim and reinsurance modules along with providing enhanced functionalities.
• Delivered high degree of rules customization option and minimized cost of maintenance through adopting table driven design approach.
• Enabled client to monitor financial status and health of organization with dashboards and reports generated from data warehouse.

Confidential

Lead Data Architect

Responsibilities:

• Supported parallel execution of several phases and met project deadlines and delivered quality design, resulting in earlier project completion that won early project completion bonus and appreciation from client.
• Enabled apple to apple comparison of all divisions’ performance, as result of architecting complex and large medical insurance data warehouse that enabled centralized view of corporate performance and profitability.
• Met corporate stakeholders’ business requirements through leading data interviews with business users, legacy data subject matter experts and legacy application architects in addition to gathering data requirements for data model development.