Nicolas Rybakov, MANAGER – DATA & AI

Nicolas Rybakov

MANAGER – DATA & AI

Pwc - United Arab Emirates

Location
United Arab Emirates
Education
Master's degree, Mechanical Engineering
Experience
6 years, 1 Months

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Work Experience

Total years of experience :6 years, 1 Months

MANAGER – DATA & AI at Pwc - United Arab Emirates
  • United Arab Emirates - Abu Dhabi
  • October 2022 to February 2023

• Seconded to Government of Abu Dhabi as a consultant. Abu Dhabi Digital Authority (ADDA) portal project for enabling data sharing between government entities 30+. Similar products on the market are Stitch & Xplenty.
• Stakeholders management, G42 development, Accenture UI/UX, DGO, Design Authority, SONAD Network, ADDA Architecture teams.
• Implementation of Gartners enterprise information management maturity model through Data Strategy, Contemporary data catalogues, Master data management (MDM) Reference data: Open or Classified, Type of Classification. Governance Risk and Compliance (GRC), Risk Management (Privacy, Security).

ANALYTICS PRODUCT OWNER at Emirates Airlines
  • United Arab Emirates - Dubai
  • March 2020 to October 2022

Managing PI backlogs and dependencies for two agile SCRUM teams. Twenty + team members: developers, data science leads, architects, and scrum masters. Usual ceremonies are requirements gathering, backlog refinement, sprint planning, stand ups, retro, innovation and planning sprint preparation, and scrum poker. KPI monitoring.
 Organising ceremonies and meetings with stakeholders as part of the delivery, review and release stages.
 Driving the enterprise-wide transformation of old Kanban IT format teams to Scaled Agile Framework SAFe@
 Servant leadership towards all team members and stakeholders.
Data Engineering Team - Established the right processes according to Agile best practices so that the team's velocity has increased. Defined KPIs for DQ for ingestions (800+ jobs) so that businesses could trust the data. The main Stakeholders were portfolio managers from the Insights Team & Data Science lead who had ML solutions deployment for various business departments.
Data Platform Team - Mature team mainly focusing on support of Cloudera Hadoop Ecosystem, Kafka data Streaming, DevOps for Azure resource deployment & Dataiku for supporting the data science team in Enterprise Analytics. Planned migration to the cloud from on-premises servers, IAM-like SSO extension to all company's SaaS products. Security remediation and compliance issues resolution and preventive maintenance planning, extensive backlog which had input from 11 Scrum teams in EA.

ANALYTICS DATA ENGINEER at Dnata
  • United Arab Emirates - Dubai
  • February 2017 to March 2020

 Consulted team on product selections for ETL. Worked with EGIT (Emirates Group IT) to manage solutions integrations.
 Liaised with EGIT to negotiate available technology usage giving considerations from the cybersecurity team.
 Designed and programmed Oracle ETL solution for DFO (Tickets booking system), PROTAS (finance reporting DB), OCEAN (Emirates Holidays), TBX (Arabian Adventures).
 Designed and implemented Data Warehouse Model used for dnata Travel BI reporting on BI SQL server. GDPR (2016)- Compliant
 Designed and implemented multiple REST API solutions for Vendors. Created Packages for SSIS server for a daily incremental load of data. (PWC, VERCHASKA, QuadLabs, Etamis, InfoDynamics)
 Set up BI tool (Sisense) API to meet BI team automation needs. Designed the first draft of Sisense training and Home pages.
 Worked with Various BI tools to prepare reports. Tell the story behind the data and make visualisations/dashboards/reports more user-friendly. Enable the audience to see insight and patterns in the data so they can make data-driven decisions. Make data available for user exploration and investigation.

Education

Master's degree, Mechanical Engineering
  • at Heriot-watt University
  • November 2013