Data pipeline enhancements and supportMigration of scripts to modern stackMaintained Hadoop cluster of more than 100 machines. Was the main on-call person.Improved monitoring system for data on HadoopSupported and improved analytical tools such as Jupyterhub and Zeppelin

Managed advertising campaigns on Google Ads, Apple Search Ads and other platforms.Increased the pace of user acquisition at least by 15% quarterly maintaining good ROI.Analysed data from 40 countries and 250 campaigns in total on a daily basis.Wrote Python scripts to help optimize marketing team processes.For example, created a structured library of 2000 ad videos and labeled all of them.

Worked on an online mobile sim card sales application.Using SQL and Python analysed user performance metrics and feedback to identify users’ demands and find problems with the application.As an example: created the first fraud detection system for the app.Liaised with various stakeholders to identify key requirements to enhance the application.Managed a project team of 4 developers, a tester and a designer.

Managed a team of 7: allocated the workload among the team, ensured the support coverage and acted as an escalation point for the team.Analysed customers’ queries to identify specific requirements which were subsequently directed to product and development teams.Managed the migration of support infrastructure to improve service efficiencyInterviewed candidates for support positions.

Supported SDKs responding to customers’ queries and troubleshooting the reported issues.Supported SDK products for Windows and Linux; Cloud-based service.Dived into customers’ code to help them find issues in using the SDK.Wrote code snippets in C++, C# and Java to expand customers’ and team’s knowledge bases.Created diagnostic scripts in C++ to showcase issues for the R&D team.