SUMMARY:

• Interconnected Information Management disciplines to deliver value - based programs with commitment, shared purpose and achievement of enterprise
• Established data-driven and highly-informed decision-making capabilities for the executive office, including analysis of and insight into customer and operation services costing millions.
• Developed metrics for executive management team to gain foresight into market conditions and trends, providing capabilities to answer the really hard “what if” questions.
• Increased understanding of financial performance through use of metrics, data visualization and executive scorecards.
• Achieved multi-million dollar cost savings in information management through measurement, analysis, and process improvements.
• Energized and led implementation of data analytics practices that dramatically reduced time and effort to access information critical to decision-making.

GOALS IN:

• Business Analytics
• Big Data Analytics
• Information Security
• Data Governance
• Internet of Things - IoT
• Advance Data Analytics
• Cloud and Virtualization
• Data Warehouse
• Data Integration

PROFESSIONAL EXPEREINCE:

Confidential, Chicago, IL

Manager - Technology Management

Responsibilities:

• Responsible for the oversight and managing big data analytics for multiple large/strategic enterprise-wide initiatives within the Health Care Analytics(HCA) Portfolio Management Office.
• Entrusted to turnaround people, processes, and technology to realize the CXO vision of business analytics.
• Built partnership with the executive leadership to define big data business cases, identify and manage cross program and portfolio dependencies, change control, and budget management. Achieved first-ever consolidated view of member service information that dramatically reduced time and effort to access information critical to decision- making.
• Exceeded CFO expectations by building 50M membership data warehouse in first year.
• Archive 25% operation efficiency by training and maintenance in year two.
• Enabled advanced data analytics for IoT and third parties on cloud infrastructure.
• Directed team of 125+ with onsite and offshore teams and administrators and managed deliverables of over 50 data sources, 100+ interfaces, and over 44 data conversion using Informatica and Talend tools.
• Realized annualized cost savings of $5.3M by developing an enterprise-wide financial big data warehouse using Amazon Redshift to integrate data from multiple operational data stores by markets.
• Ensure informed decisions and governance by bringing together all project collaborators, data points, and processes in a single portfolio status that can be achieved within a framework of rigorous control and governance to ensure all projects consistently adhere to business objectives.
• Led installation, configuration and implementation of Hadoop ecosystem components like Spark, Cloudera, Impala, HBase, Oozie, Hive, Sqoop, Pig.
• Hands-on experience with Amazon web services, created EC2 (Elastic Compute Cloud) cluster instances, setup data buckets on S3 (Simple Storage Service), set EMR (Elastic MapReduce) with Hive scripts to process big data
• Maintained a high level of competency in analytical principles, machine learning tools and techniques.

Technical Environment: Cloudera distribution - CDH, Hadoop, Impala, Sqoop, Pig, Hive, Flume, Spark, R, Tableau, AWS EMR, AWS RDS, Informatica, Spring cloud API, Kubernetes, Cassandra, Java/J2EE, Spring Framework, MongoDB, Kafka, Docker, Mesos, GitHub, Slack, VersionOne.

Confidential

Engagement Lead

Responsibilities:

• Supported development of strategy, vision and business process. Worked closed for team of analyst, researcher and technical resources.
• Overseen the creation and practical application of the master data management plan, including system wide data dictionary & metadata, data security, data access and usage and data storage.
• Managed various dataflow and micro-services endpoints for data service layer.
• Worked closely with technical teams to derive business insights from data and visualizations which translate into actionable business recommendations.
• Products includes D3JS, Cassandra, MongoDB, PHP, Tomcat, Spark, Kafka, Akka, Hadoop clusters.

Confidential, Chicago, IL

Enterprise Architect

Responsibilities:

• Assisted in the definition, establishment, documentation, implementation and continuous updates of Confidential data integration standards, procedures and best practices.
• Establishes advance analytical rigor and statistical methods to analyze large amounts of data on Hadoop Clusters, using SAS advanced statistical techniques and mathematical analyses.
• Hands-on development using open source big data components such as Hadoop, Hive, Pig, HBase, Flume, Sqoop and Mahout.
• Implement map-reduce algorithms and configurations using Java, Python and Perl.
• Helped in performance optimization, scalability and capacity planning.

Technical Environment: Hadoop, Pig, Hive, Informatica, Spring Framework, Tivoli WS, DB2, Vertica, Cognos, SAS Base.

Confidential, Chicago, IL

Business Intelligence consultant

Responsibilities:

• Led the selection, negotiation, and implementation of Cognos Financial Performance Management for Health plan performance.
• Success of implementation led to Cognos being selected as best practices financial technology within the industry.
• Replaced a time intensive and error-prone budgeting system with right time access to accurate information for 39 Confidential plans.
• Initiated collaborative efforts enterprise-wide to provide consistency and comparability across properties, delivering system on-time and below budget. Built a series of analytic tools to integrate data from time and attendance systems.
• Developed metrics reporting system for executive management team to analyze and trend market conditions over time, incorporating such measures as Market Capture %, and Market Penetration.