In my role as Data Engineer I worked in different departments R&D and client solutions. In R&D department I worked closely with the Data Science team helping to develop internal attribution products, my role included maintenance adding new features to the products and clients on-boarding. In the client solution department I was mostly involved in the development or adapting of custom solutions for the clients needs. Here are the projects I’ve done. I created standalone clients to extract data from the marketing platforms, processing and storing it in the GCP. I used this data to create reports or enrich analytics data. In this project I used the following GCP services such as Cloud Run, CI/CD, BigQuery, Cloud Build, Cloud Composer, Google looker. Creating pipelines to stitch, clean marketing and sales data then feed it back to the marketing platform to increase profitability. Using this approach you can indicate to the marketing platform a real profit that really could be negative. It helps the platform to optimize the budget in a more efficient way. Creating pipelines for CLV bidding. Using prediction of the live time of users, group them into segments and feed it to Google Analytics and marketing platform to reactivate users and increase revenue.

Precis Digital | Oct 2021 - Apr 2022

Client Solutions Engineer (data engineering)

In role as a Client solution Engineer I developed and integrated custom solutions for the clients in the GCP such as data pipelines, DWH, advanced tracking solutions, monitoring systems.

Precis Digital | Nov 2020 - Oct 2021

Analytics Specialist

In my role as an Analytics Specialist, I designed, implemented and maintained deep tagging of clients sites and applications. Also I provided custom solutions with GCP and GTM. For Analysis purposes I made data visualization and dashboards. It helped to keep hand on business pulse and get insights from the data. Interesting projects I worked on: Implementation of server side analytics. It helped to anonymize data in an advanced way, and mitigate ad-blockers' effects. Service to legally calculate number of opted-out users sessions. It helped to understand the missing because of GDPR data. Transformation of the GA4 hits to sessions from the GA4 export. Since many tools work based on a session data model it was useful to adapt GA4 data to the format we can process.

Social Discovery Ventures | Nov 2019 - Oct 2020

Web Analyst

Stack (Python, JS, BigQuery, Google Analytics, SQl, T-SQL, GTM, AdWords API, GA4Firebase, Firebase, Facebook API, Linux, Flask, Selenium headless) In role as a web analyst, I collaborated with a marketing and dev team, I was involved in deep tagging implementation of SPA sites with Google Tag Manager. I maintained and developed our Google Analytics on an advanced level and responsible for the high level of data quality. I used our Data Warehouse for segmentation an audience for better marketing performance. I was used to leveraging remote servers based on Ubuntu for creating ETL, monitoring, creating specific reports, and job automation with the Cron. I created Slack bots for crash monitoring and notifications. It helped me to be aware of what's going on. I worked with mobile APPs as well. I am well versed with the Firebase and the AppsFlyer to a lesser extent. I am well versed with APIs of AdWords, Google Analytics, Facebook, Snapchat, GTM and use these in my daily work. My major tools were Python, Jupyter notebook, JavaScript, SQL.

Kaspersky Lab | Feb 2018 - Nov 2019

Web Analyst

• Stack (Google optimize, GTM, Google Analytics 360, JS, Python, Adobe Analytics, Adobe Launch, Yandex Metrica, Google search console, CSS, Power BI, Google Data Studio, Baidu) • I can separate my work in Kaspersky on two parts, technical and analysis. • Technical part included embedding analytics tools and creating a tracking system. Here I had tightly worked with the Adobe Analytics and the Google Analytics 360. I had transferred old implementation Google Analytics into GTM and Adobe Analytics into Adobe Launch. I had figured out and used API for forming complicated reports and then automated them. • The result was reducing time for preparing reports for executives, speeding up work of our sites. • Analysis part included insights finding, UX research, AB tests and applying SEO practices. • As a result, we boosted our China site, and increased customer satisfaction rate to see less.

FirstBIT | Nov 2016 - Feb 2018

Digital Marketing Specialist

• Stack (Google Adwords, Google optimize, GTM, Google Analytics, JS, Yandex Metrica Google search console, CSS, Power BI, Google Data Studio, Excel, Yandex direct). • In this role as a digital marketing specialist, I was responsible for strategy and attraction traffic on our sites. I had gone the way from junior to a senior specialist. My direction was B2B sector. The mains tools were AdWords, Yandex Direct, media channels, social networks and SEO traffic. • I had played with settings of the channels, and it let me reduce general costs of my campaigns but increased amount of leads. • In my work, I used AB tests, SEO tools, created fresh landing pages. I was the first who used automation work via API and save time for essential things that affected revenue. • The results were following monthly reached KPI (it was the number of leads), time reduced for creating daily reports to help automation.

Self practice | Jan 2015 - Oct 2016

Freelance

In my spare time I did some freelance that was challenging and interesting to me. It was small projects mostly related to the front-end development, analytics tracking integration and chat bot creation. Also I managed my own e-shop and could familiarize myself with digital advertising, SEO and CMS.

My Education

Take a look at my formal education

Nanodegree Program, Front End Web DeveloperUdacity | 2020

Specialist, EngineeringThe A. F. Mozhaysky Military Space Engineering Academy | 2013

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