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Data Architect Resume Profile

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NC

PROFILE

  • Sixteen years of IT experience, ten years of which in deploying business intelligence, data warehousing and data integration solutions.
  • Domain expertise in Finance, Healthcare, Pharma, and Retail.
  • Expertise in designing BI solutions utilizing the right mix of technology, data models, data flows, and semantic models for data presentation.
  • Good understanding of data profiling and statistics to explore data relations and create metrics relevant to business.
  • Managed projects in leadership roles to define scope, budget, and deliver results iteratively for enterprise scale projects.
  • Produt management experience creating data products.
  • Certified: CFA Claritas, PMP, Six Sigma

PROFESSIONAL EXPERIENCE

Confidential

Data Architect

  • Gather requirements, and profile data to expand the metric list, and improve the data integrity and quality.
  • Create data models and user models for self-service BI.
  • Responsible for the overall data design to support the Accountable Care model, enabling exploratory analysis of data across the clinical spectrum.
  • Statistical analysis to identify the drivers of costly hospital readmissions.
  • Create ETL and SQL dataflows emphasizing scalability and reusability.
  • Design MDM to create an integrated version of providers and patients. Data is supplied from internal and external sources, including payers, EHR, and public domain data.
  • Create design standards, review with team members, and mentor them.
  • Create canned reports for users as a reference template for adhoc reporting.
  • Create task breakdowns and cost estimates.

Data Architect

Confidential

  • Proposing and defining the metrics to support the department goals.
  • Data modeling, and data flow designs. The model supported what-if analysis with different budget versions, and point-in-time data analysis.
  • Create canned reports, to be used as templates for end user access to data.
  • Creating scope, budgets, and schedules.

Data Architec

Confidential

  • Create an iterative roadmap to incrementally implement the warehouse by business processes.
  • Work with stakeholders to conform claims from multiple payor systems.
  • Create data model to analyze claims by snapshots, and settlement progress cycle time
  • Design MDM for provider data with proper lineage.

Implemented initial iterations of data warehouses for Cotteweb Campaign management and Associated Supply Chain .

ETL Architect

Confidential

My responsibilities:

  • Profile and map data from various sources.
  • Create the ETL architecture to create baseline history
  • Design real-time forecasting utilizing parallel processing features of Ab Initio. 'Re-Model' and prepare warehouse data to reduce workload during forecasting.

Data Integration and Warehousing Manager

Confidential

My responsibilities:

  • Analyze the source systems to create efficient data flows.
  • Retire legacy batch interfaces, moving them to an integrated ETL tool based architecture.
  • Data quality and data cleansing utilizing Six Sigma methodologies and historical error patterns in claims coding.
  • Create dimensional models for selected data marts.
  • Budgeting and project management.
  • Set up an offshore delivery model to transition support.

SKILLS

  • Data driven requirements and metric definition, utilizing domain knowledge, study of data relationships, and stakeholder interviews.
  • Data architecture, Data modeling, ETL, Data Quality
  • Master Data Management.
  • Big data processing: Hadoop and MPP.
  • Statistical analysis and modelling: R, Python
  • Project management
  • ETL Tools: Informatica, Ab Initio, Microsoft SSIS, SAP BO Data Services.
  • Reporting: SAP Business Objects, Qlikview, Microsoft BI.
  • Oracle, DB2, SQL Server, Teradata databases.
  • Java, Python, J2EE.
  • UNIX, Mainframes.

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