Roman Bauer

Managing data quality (DQ) for one of the largest FMCG company in UK and Ireland - Reduced time for covering new data product with autotests from 5 days to 1-2 days - Designed, developed and maintained ADF-integrated framework for running scheduled DQ checks with wide parametrization possibilities and Power BI dashboard as a result - Data profiling, discover applicable DQ rules - Design architecture for DQ automation with Azure Data Factory and Snowflake - Testing templates design - Data pipelines testing

Planning, executing and managing data quality (DQ) for one of the leading bank in Asia region - PySpark data pipelines fully covered with DQ tests automated - A module for DQ tests reporting automation (based on pytest, AWS Athena API, JIRA Zephyr API) - Data profiling, source data monitoring according to DQ dimensions - DQ level maintenance - DQ automation testing design according to the project needs - Test plans creation for the system integration testing, user acceptance testing - Data pipelines fixes

Manage a team of 5 engineers on software licensing portal data integration project - regular delivery of functionality for stakeholders (1 release in 2 weeks) - successful migration of users’ invoices and licenses information (~1.5 mln users) - project hypothesis creation and verification using raw data - project scope creation and prioritization - requirements, resources, time and risk management - services deployment in integration environment - developer and customer journey documentation

Bachelor's thesis: "Project for the development of a system for evaluating project solutions based on machine learning technology (for an engineering company)"