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This is a profile from the 2022 version of the DataIQ 100.

The latest list is available here.

Svitlana Gavrylova, data management practice lead, UKI, Google Cloud

What has been your path to power/influence?

 

I’m a forward-looking data professional with extensive experience leading global teams and strategic projects in the data management field. I started my career while studying at the National Technical University of Ukraine, when I worked as a database developer. Consequently, I joined the global distributed database team at Morgan Stanley. I worked my way up to lead teams focusing on the service for the distributed databases, focusing on RDBMS(IBM Db2 LUW, Sybase, SQL Server etc).


After this, I held several positions in global database service teams and data engineering. I focused on leading evaluation, integration, and developing blueprints for database cloning, data masking, data profiling and encryption. I have also led PoCs, systems integration projects and established the corresponding service models, change, and risk management procedures.

 

During the MBA program at Durham University, I became fascinated with looking at different business case studies, including ones focused on solving strategic business tasks using technology and data. Therefore, I joined Google Cloud and am currently working with various companies to implement cost-effective, innovative solutions, advising on complex migrations and database upgrades to support digital transformation.

 

I provide expert counsel to organisations planning to implement the data management systems on public cloud, including advice on the cost-effective allocation of the resources, target state architecture, and risk mitigation via disaster recovery and high-availability strategies. Furthermore, I participated in the working group of the Enterprise Data Management (EDM) Council – a leading global association created to elevate the practice of data management as a business and operational priority.

What impact has the pandemic had on demand from your clients?

 

The pandemic accelerated digital transformations and the move to online business activities for many companies, highlighting the importance of near real-time data analytics supported by the scalable, efficient and reliable data architecture. Therefore, migrations and modernisation to take advantage of the serverless cloud-native data analytics offerings and cloud managed database offerings and cloud-native databases came to prominence.

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