nukala prathyusha

team lead, data operations

About

Hands-on Experience in Database Design, Data Analysis, Implementation, ETL and Reporting in Microsoft SQL Server technologies Involved in Data Integrity, Transformation Scripts, Stored Procedures and Test plans to ensure the successful execution of the data loading processes Experience in addressing Performance Issues and Involved in query and Index tuning, Data Profiling and other database related activities

Country

united states

City

peabody

Industry

computer software

Skill

databases, sql, data analysis, visio, microsoft sql server, quality assurance, integration, management, etl, software development

Experience

reasearch assistant

university of north texas

2009-8 - 2011-12 · 2 yrs 5 mos

business data analyst

eliza corporation

2012-3 - Present · 14 yrs 7 mos

About Eliza CorporationEliza Corporation ("Eliza") is the pioneer and recognized leader in Health Engagement Management. Eliza combines technology, data, and analytics to provide the most advanced solutions and services that measurably improve quality, cost and care outcomes. Over 15 years and billions of interactions, Eliza has amassed the world's largest data asset of people's healthcare actions, behaviors and decisions through the Company's award-winning, multi-channel communications platform. Eliza is based in Danvers, Massachusetts. For more information, visit www.elizacorp.com or contact 1.800.701.7864.

team lead, data operations

eliza corporation

2014-4 - Present · 12 yrs 6 mos

*  Understanding current business processes and implement efficiently in migrating current data in existing platform to AmazonWebServices cloud platform. *  Improve team efficiency with the definition of a business and data analysis practice including Standardized processes, reusable templates and extensive business intelligence training. *  Generation & management of cross-project data mappings from originating data sources to target models. *  Implement data analysis techniques to validate business rules and identify low quality missing data. *  Analyze the assigned projects and distributed tasks to the members as per their area of expertise.