Viktoryia D. Email & Phone Number

Visual FlowApplication provides graphical user interface to do ETL for different data sources (SQL db, non-SQL db, S3, COS) using Spark and Hadoop stack. ETL stages to be grouped into jobs. Jobs to be grouped into pipelines. Import and export is possible for jobs and pipelines. Authorization is applied for users. Application settings are configurable. Application is oriented on organizations where there are a lot of ETL developers, who used to work with standard ETL tools like Data Stage, but there is the need to work with big data. Applications allows such developers to apply their ETL knowledge without knowing of Spark and Hadoop

EPM Data, IBM USDevelop and maintain capabilities to ingest financial data, create enterprise dimensions, integrate ingested financial fact data with enterprise dimensions. Provide facilities for automatic validation of ingested data in all stages. Make ingested and integrated data applicable for reporting. Develop and provide all the functionality in a secure, productive, scalable way easy for maintenance and troubleshooting. Strictly follow the established processes on all stages of development, validation and deployment. Produce output consistent with enterprise data standards.

EPM for Support, IBM US Global Chief Data Office. Ingest and leverage data and insights to enhance: Support Operations (ingest data and build reporting capabilities, AI enabled insights), Support Transformation (integrate disparate data for operational and enterprise reporting, reporting for new Support channels), Client Experience (reporting capabilities to understand Client experience/journey, Client Spend and Support experience). EPM for Support builds on IBM’s enterprise performance platform, establishes a co-creation platform leveraging single source of truth with expanded insight and analytics; aligned with data standards and compliance for horizontal integration.

Master'S Degree, Computer Software Engineering

Bachelor'S Degree, Computer Software Engineering