Involved in developing robust software that's core to the HP Financial service Data with the incident, change, and other management process standardization, quality service delivery, and support, and enhanced agent and end-user support. Focused for this Project included technical thought leadership, team and client project leadership, enterprise architecture, Data design and implementation, business development, and strategy evaluations that are focused on cloud services.
Communicated Business Intelligence and Data Warehousing concepts to both our corporate Business managers and Technology partners. Designed and developed the metric universe for the Dashboard pro Led the business team in specifying the requirements for ETL Data that implemented Sybase replication for change data capture on the source systems.
Senior Data Architect I Resume Headline : Friendly team player with excellent communication and interpersonal skills to easily interact and build strong rapport with individuals at all levels. Skills : CloverETL,. Description : Provides insights on cybersecurity architectural strategy. Utilizes technical expertise in order to identify standards, patterns, and policies. Works with business segments to provide technical guidance and enforcement of security guidelines and quality controls.
Reviews new designs coming in and provides solutions to make sure implementation is done securely. Performs cybersecurity assessments for Ameren projects, activities, and infrastructure changes, requests or enhancements with regard to cybersecurity architecture and design. Assists in the development and review of cybersecurity architecture requirements. Description : Provided market research tools including online surveys, sample, and analytical reporting tools.
Resulted in multi-terabyte databases with tables having hundreds of millions to billions of rows. Designed and implemented eventually consistent replication techniques to populate data for the in-house analytics reporting engine. Optimized performance and scalability.
Designed optimizations for storing and retrieving wide datasets in analytics reporting. Designed and implemented access API and schema enhancements for existing and new products. Triaged performance issues of an acquired product. Description : Designed enterprise data management strategies and standards. Delivered data cleansing solutions, data lineage diagrams, mapping and transformations rules, data integrity solutions for applications, conversion, integration, and production support issues.
Created common naming and ubiquitous language for data elements which enabled integration, communications and clarity between applications by composing, establishing, publishing, and socializing models and definition standards. Improved visibility and understanding of enterprise data to business and development teams by initiating and creating DA home page on confluence; highly received and valued by teams.
Conducted and made recommendations on Data profiling and modeling tools. Recommended and implemented the Erwin Data Mart organize, maintain and backup the enterprise data models. Description : Managed and led the database architecture team. Responsible for the maintenance of all the database servers. Responsible for database upgrades, HL7 data integration and changes during release cycles. Maintained the Hadoop platform used for automated billing. Evaluated open source technologies and software for developing the roadmap.
Aligned multiple stakeholders to support formal processes to collect mission critical and business data and methods of audit and responsibility. Performed ownership on customer and member domain to source and design the data from staging level to normalized level to reporting level. Identified the design gaps to implement bi-temporal approach and solution to support various source data.
Description : Built and production sized a very complex harmonized system of collecting Heath care data from various data keepers so that Business Partners will have the flexibility to subscribe to usage reports using SAAS methodology. Designed new system with improved workflow, metrics, and outcomes, better integration with state system of record, and improved data and technical architecture.
Converted business into technical requirements for Fact Matching and Drug System. Developed the conceptual, logical and Physical Data model for HCE, Drug, Location, Claims, Projection functional areas and ensured robust data definition around metadata, and its usage. Ensured SOX compliance of Healthcare information enterprise and implemented the Data governance process for HCE around metadata definition, tuple creation, data discovery, and data profiling.
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