Oleg Agapov 🇺🇦

Analytics Engineer at Palta
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Contact Information
us****@****om
(386) 825-5501
Location
Vancouver, British Columbia, Canada, CA
Languages
  • Russian Native or bilingual proficiency
  • Ukrainian Native or bilingual proficiency
  • English Professional working proficiency

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Iliya Chalamov

Oleg is a highly innovative and detail orientated Business Intelligence expert. He has an unique viewpoint, gained from many years hands-on experience. Oleg is always professional, helpful, friendly, and very good at any task he takes on. Above all, I was impressed with Oleg’s abilities to solve complex business problems using his superior analytical skills. It is so easy to take mission critical business decisions based on his advanced analytical reports, and this way it is easy to optimize any platform and product for increased conversions and customer life-time value. I would love to have the opportunity to work with Oleg again. He is absolutely a valuable asset to any team. I highly recommend him without reservations.

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Credentials

  • Analytics Engineering with dbt
    CoRise
    Feb, 2023
    - Nov, 2024

Experience

    • United Kingdom
    • Software Development
    • 1 - 100 Employee
    • Analytics Engineer
      • Jan 2023 - Present

      - delivering financial models (transactions, subscriptions) for several startups of our group- creating financial models for ERP system (NetSuite)- integration of external data sources via API and Python- establishing best practices for data modeling (including dbt conventions, tests, documentation)

    • Business Intelligence Engineer
      • Nov 2021 - Dec 2022

      Working on BI, data platform and analytics:- Creating and maintaining reports for the board of investors- Taking care of Looker: managing users, connections, documentation, projects, etc- Working on creating of data models for the variety of domains (finance, marketing, product, etc)- Consulting our startups about analytics (both tech and business parts)- Tech stack: - Snowflake - Looker - dbt - python - docker

    • Poland
    • Computer Games
    • 100 - 200 Employee
    • Data analyst/BI
      • Jun 2018 - Oct 2021

      Helping GOG.com building analytics: - extract and combine data from various sources (MySQL, Hadoop/Hive/Spark) - provide end-users with data they need - supporting everyone with ad-hoc reports (using MySQL, Spark, Hive, Python) - supporting 3-rd party tracking tools like Google Analytics, Google Tag Manager, Facebook Pixel; implementing custom events in case of needs - preparing data for monthly performance report or custom reports - integrating open-source (Metabase) and proprietary (Tableau) data visualization solutions - designing, implementing and supporting dashboards for various teams (Management, Board, Marketing, Product, Releases) - helping in building data stack; translating business requests into technical requirements Implementing analytics for desktop client GALAXY 2.0: - collecting business requirements and metrics (KPIs) - transforming metrics into events - designing technical documentation - QA-ing tracking implementation - implementing data aggregation and exporting to BI database (Spark, MySQL) - designing dashboards using open source tool (Metabase) - writing in-depth analytics reports (KPIs, feature analysis) Hard skills: - proficient SQL (mostly MySQL, Hive, Oracle in past) - upper-intermediate Python (Jupyter, pandas, PySpark, scipy) - strong knowledge of Big Data stack: HDFS, Hive, Spark (mostly Scala, sometimes Python), Oozie. Little less experience with Hbase, MapReduce scripts, Cloudera and Hortonworks - beginner in Kibana and Elasticsearch - personal experience with MongoDB (mostly through JavaScript) - experience with command-line and Linux (mostly Ubuntu) - experience with Git (GitHub, GitLab) - for fun: Node.JS, Flask (Python), FastAPI (Python) Show less

    • Belgium
    • Information Technology and Services
    • 1 - 100 Employee
    • Data analyst, BI specialist
      • Aug 2016 - May 2018

      - data analysis - ad-hoc and recurring reporting - data integration with BI tools - data modelling for internal Data Warehouse - web-analytics using Google Analytics and Google Tag Manager - technologies - Oracle DB, MySQL, Python, MS Excel and Google Spreadsheets, DOMO (BI) - data analysis - ad-hoc and recurring reporting - data integration with BI tools - data modelling for internal Data Warehouse - web-analytics using Google Analytics and Google Tag Manager - technologies - Oracle DB, MySQL, Python, MS Excel and Google Spreadsheets, DOMO (BI)

    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Analyst, Head of BI
      • Feb 2012 - Jul 2016

      * weekly monitoring of main KPIs * deep analysis of concrete KPI and finding of implicit ana explicit dependencies and patterns * providing with non-standard reports * AB-tests analysis * creating the lists of KPIs for new projects * describing and implementation of sales funnel * weekly monitoring of main KPIs * deep analysis of concrete KPI and finding of implicit ana explicit dependencies and patterns * providing with non-standard reports * AB-tests analysis * creating the lists of KPIs for new projects * describing and implementation of sales funnel

    • Actuary
      • Jul 2010 - Dec 2011

      - data mining - data analysis - data mining - data analysis

Education

  • Donetsk National University
    Master degree, Theory of probability and statistics
    2005 - 2010

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