IBM EPMDevelop 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. 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). 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.Responsibilities:- Performing data analysis, clarifying features and data sources with SMEs- Creating Facts and Dimensions from data, integrating facts and dimensions- Performing data exploration and data validation on all stages of development- Developing ETL jobs according to the data design documents with Apache Spark, ingesting data from RDBS, NoSQL, Cloud Storage data sources, transforming, integrating, loading into Datamart- Developing and orchestrating Airflow DAGs and custom operators, orchestrating ETL workflows- Developing of Data Quality functionality to verify completeness, timeliness, correctness, integrity- Performing data validation with SQL and ad-hoc Spark scripts, developing automated validators- Performing necessary testing and ensure that code is tested- Debugging, troubleshooting, applying changes in a timely manner according to change requests- Deploying code into Staging, PreProd, Prod environments and ensure that deployment corresponds to the established MTP process- Writing technical documentation, user guides

Design and development of a model for predicting football matches based on historical and current data and the state of the teams. Development and maintain of scrapers for obtaining data from different sources and bringing them to a strictly defined form. Development of a model for building a betting line based on the team's score and choosing the best bet from several bookmakers. Make reports with current predicted matches and historical. Strictly follow the established processes on all stages of development, validation and deployment.Responsibilities:- Discussing and designing of the model at a high level - Creating of new and supporting for existing parsers- Adding new mappings (if needed)- Writing a predictive job- Testing various settings for predictive job- Performing data validation with SQL- Performing a notification function for Slack about the status of running jobs- Performing necessary testing and ensure that code is tested- Deploying code into Prod environment- Orchestrating jobs in Amazon web services- Creating of reports, graphs, tables in Kibana- Debugging, troubleshooting, applying changes in a timely manner- Writing technical documentation

Passed the IBA Python internal course.

Completed a group of IBA internal courses: Scala, Spark, Kafka. Developed and monitored tasks on the server using Docker.

Passed an internal IBA Java (base) course.

Passed an internal IBA C# (base) course