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Techteam

Key results: – successfully launched the optimized notification model, informing the customer of any deviations during the night-time calculations; – led the decommissioning of 2 data interfaces, leading to the increased by 30 mins contingency for the nightly calculations; – built a strong team collaborative culture, allowing support and opennes between the team members.

Teamidea Group

Grocery Retail Company, UK: FOA transformation [Sept 2022 – Dec 2022] Role: Relex DevOps team technical lead. Key results: – increased the stability level of Relex technological platform by reducing the amount of critical technical incidents by 45% fixing the bugs and enabling the early bug detection process; – built a transparent working backlog for the platform stability enhancements; – successfully supported the technical part of launching the complex business functionality with no inherent technical issues or tech debt. Pet Retail Company, UK: Relex implementation [June 2022 – Sept 2022] Role: Relex TC team technical lead. Key results: – managed the team to complete 90% of non-functional tests within 2 weeks; – developed an easy-to-use tech framework for any notifications [Late, Missing incoming and outgoing data]; – coordinated the launch of the first wave of stores to be replenished from Relex with a minimum amount of tech-related incidents.

KPMG

Top-10 Bank RU: Cross-sales business process for individuals diagnostics and implementation of enhancements [Aug 2020 – May 2021] Role: Manager of technical team Key results: – launched ready-to-market product with all the required automation (risk assessment, rate calculation, marketing channel) within 4 months; – amount of analyzed features to be used in the model exceeded 1000 and for each of them a source-to-target with relevant transformation was prepared; – revenue generated by the cross-sales platform has reached 800m RUB for the first year. Top-4 cell phone provider RU: Chief Data Officer office enablement. Data platform implementation [Nov 2019 – Apr 2020] Role: Manager of data architecture and infrastructure team Key results: –DWH architecture changes were proposed, saving ~1 bln. Rub per year; – optimisation of the data office operational model was performed and changes to the org structure were implemented; – DWH (Oracle, Teradata, BW on HANA) was optimised and 200 TB of data out of the 650 TB total were saved.

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Опыт работы

DevOps Lead
с 12.2022 - По настоящий момент |Techteam
Python, JS, Java, SQL, Azure, AWS, Microsoft 365
Key results: – successfully launched the optimized notification model, informing the customer of any deviations during the night-time calculations; – led the decommissioning of 2 data interfaces, leading to the increased by 30 mins contingency for the nightly calculations; – built a strong team collaborative culture, allowing support and opennes between the team members. Technology stack: Programming Languages: Python, JS: Node, Vue; Java, SQL; Azure: Databricks, Azure Data Factory, Azure Data Lake Storage, PowerBI, Functions; AWS: Amazon S3, AWS Lake Formation, Amazon Athena, Amazon EMR, AWS Glue, AWS Lambda; Other: Kubernetes, Redis, Kafka.
Enterprise Architect
05.2021 - 09.2022 |Teamidea Group
TypeScript, Node.Js, Vue.Js, T-SQL, Python, Java
Grocery Retail Company, UK: FOA transformation [Sept 2022 – Dec 2022]. Role: Relex DevOps team technical lead. Key results: – increased the stability level of Relex technological platform by reducing the amount of critical technical incidents by 45% fixing the bugs and enabling the early bug detection process; – built a transparent working backlog for the platform stability enhancements; – successfully supported the technical part of launching the complex business functionality with no inherent technical issues or tech debt. Pet Retail Company, UK: Relex implementation [June 2022 – Sept 2022]. Role: Relex TC team technical lead. Key results: – managed the team to complete 90% of non-functional tests within 2 weeks; – developed an easy-to-use tech framework for any notifications [Late, Missing incoming and outgoing data]; – coordinated the launch of the first wave of stores to be replenished from Relex with a minimum amount of tech-related incidents. Grocery Retail Company, RU: F&R transformation [May 2021 – Feb 2022]. Role: Technical architect and a manager of Relex TC team Key results: – acted as a ‘client voice’ inside Relex TC team to implement the required changes to increase the stability and performance of the solution; – successfully launched first 1000 stores for a set of product groups to get the orders from Relex; – coordinated the selection of the target cloud platform (AWS) to build a data lake for the forecasting and replenishment purposes and to successfully integrate in in the corporate IT architecture; – improved the stability of the platform by ~70% from 8-10 incidents leading to reserved per month to 2-3 only the data incidents per month. Technology stack: Azure: Data Factory, Analysis Services, Databricks, PowerBI, Functions; Yandex. Cloud: Managed Postgres, Managed MongoDB, Managed Clickhouse, Managed Redis. Other: TypeScript, Node.Js, Vue.Js, T-SQL, Python, Java.
Manager
11.2019 - 05.2021 |KPMG
MongoDB, Oracle, IBM, SAP BW, MS SQ
Top-10 Bank RU: Cross-sales business process for individuals diagnostics and implementation of enhancements [Aug 2020 – May 2021]. Role: Manager of technical team. Key results: – launched ready-to-market product with all the required automation (risk assessment, rate calculation, marketing channel) within 4 months; – amount of analyzed features to be used in the model exceeded 1000 and for each of them a source-to-target with relevant transformation was prepared; – revenue generated by the cross-sales platform has reached 800m RUB for the first year. Top-4 cell phone provider RU: Chief Data Officer office enablement. Data platform implementation [Nov 2019 – Apr 2020]. Role: Manager of data architecture and infrastructure team Key results: – DWH architecture changes were proposed, saving ~1 bln. Rub per year; – optimisation of the data office operational model was performed and changes to the org structure were implemented; – DWH (Oracle, Teradata, BW on HANA) was optimised and 200 TB of data out of the 650 TB total were saved. Technology stack: Greenplum, Kafka, Hadoop, Spark, Clickhouse, MongoDB, Oracle, IBM, SAP BW, MS SQL, Apache NiFi, Apache Airflow, PowerBI.
Senior Consultant
01.2018 - 04.2019 |Ernst & Young
MS SQL, PowerBI, Python, Hadoop, Java
Top-2 cell phone provider RU: IT strategy development for the financial and payments division [Aug 2019 – Oct 2019]. Role: Stream lead of data and architecture streams. Key results: – Architecture changes were proposed, reducing the duplicate functions and enabling the microservices architecture for the financial unit. Sberbank RU: Data architecture modernization and IFRS 9 implementation [Jan 2018 – Apr 2019]. Role: Stream lead of technical changes and architecture and risk assessment and modeling streams. Key results: – implemented new cluster-based data factory, using the latest Hadoop technologies, along with the benefits of the regular RDBMS fast-accessed warehousing layer; – changes to the model feed architecture based on SAS EG+SAS EM allowed to increase the performance of the system by 18%; – effective team management and collaboration has allowed to launch the product within just 6 months after the start of active development. Technology stack: Postgres, Kafka, MySQL, MS SSIS, MS SQL, PowerBI, Python, Hadoop, Java
Senior Consultant
01.2015 - 12.2017 |PwC
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X5 retail group RU: Smart categorisation system for the lease contracts on IFRS 16 [Jul 2017 – Dec 2017]. Role: Stream manager of the technical stream. National system of payment cards RU: First adoption and automation of IFRS [Apr 2017 – Jul 2017]. Role: Stream manager of the technical stream. Metalloinvest Group RU: Financial and IT control system audits [Jan 2015 – Dec 2016]. Role: Audit consultant.

Образование

Business IT (Магистр)
2015 - 2017
Russian Academy of National Economy & Public Administration

Языки

АнглийскийПродвинутый