Code Monkey home page Code Monkey logo

Hi 👋, I'm Ivan Shamaev

Team Lead of BI team at Sber Eapteka

I have over 10 years of experience in data analysis, business intelligence and report building. I’m passionate about finding insights from data and creating solutions that help businesses grow and improve.

Some of my skills and tools include:

  • Qlik Products (Qlik Sense, QlikView, NPrinting), Apache Superset, Yandex DataLens, SQL, Python
  • Data warehousing, ETL, OLAP, Data Modeling, Data Visualization, Reporting, Dashboarding
  • Agile, Scrum, GitHub, Docker, ClickHouse, PostgreSQL, GreenPlum, Apache Airflow

As a Team Lead, I’m responsible for:

  • Managing a team of data analysts
  • Defining goals, strategy, and roadmap for data and analytics projects
  • Communicating with stakeholders and other teams
  • Organizing documents, tasks, and workflows
  • Mentoring, coaching, and developing the skills of my team members

I’m always eager to learn new technologies and methods, and to share my knowledge and experience with others. I’m also interested in open source projects and communities related to data and analytics.

You can find more about me and my projects on my website or connect with me on LinkedIn.

  • 🔭 I’m currently working on Yandex DataLens, Qlik Sense, Apache Superset

  • 🌱 I’m currently improving my hard skills in directions: Python, Apache Airflow, ClickHouse

Languages and Tools:

Qlik apache_superset apache_airflow sql clickhouse

python pandas postgresql docker css3 flask html5 javascript nginx react

ivanshamaev

Ivan Shamaev's Projects

clickhouse icon clickhouse

ClickHouse Deployment Template with Docker-Compose.

clickhouse-docker-compose icon clickhouse-docker-compose

This GitHub repository offers a Docker Compose configuration for easy deployment and management of ClickHouse clusters.

hh-data icon hh-data

Развертывание аналитического сервиса полного цикла Full Stack Data Analysis. Docker, Apache Airflow, PostgreSQL (raw data), ClickHouse, Apache Superset. Данный репозиторий содержит краткие инструкции на примере анализа данных hh.ru

jupyter-docker-compose icon jupyter-docker-compose

Этот проект предоставляет готовую конфигурацию Docker Compose для быстрого развертывания Jupyter окружения, оптимизированного для работы в области Data Engineering.

superset-docs icon superset-docs

Initial sources of diagrams describing the Apache Superset (Исходники диаграмм с описанием архитектуры Apache Supserset).

webapp-flask-react icon webapp-flask-react

Пример реализации Flask приложения с React Bootstrap

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.