Data Architect Resume Profile
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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.