Nikita – Python, Django, MySQL

The project is an extension to existing one that helps create customized dashboards and visualizations with existing data. The platform makes possible to setup uploading of any tabular data from different data sources. After data uploading process setup user can create dashboards and visualizations with custom data. Also user can join custom data with existing one.

• Found and defined customers needs
• Presented product vision to management team
• Developed dynamic SQL tables generation and interaction with them
• Estimated project road map.

ETL is an internal company product. It helps integrate big retail chains with internal system to get insights from their data. ETL provides an easy way to setup customer data sources and data processing workflows. It was created by developers and special for developers. The main requirement was to make the integration process fast, reliable and convenient. Also ETL has real-time workflows and servers monitoring to detect problems asap. That was the key to work with the biggest retail chains all over the world.

• Leaded product development from idea to production-ready stage
• Mentored team members, individual development plan, created regular code reviewing, sprints planning
• Communicated with customers.
• Made code faster, readable, reliable and easy-to-support
• Worked with a lot of data sources
• Built app architecture, tech stack setup
• Optimized complex SQL queries and database tuning.

The project gives retailers an opportunity to build custom dashboards and visualizations with own retail data, save, share and export them. The key feature is to join all the data together in a few clicks.

• Discovered and read legacy code
• Built app architecture and design components
• Fully rewrote product code to make it fast, readable and maintainable
• Worked on complex SQL queries generation
• Extended external open-source libraries
• Estimated project road map.

Open-source library to validate pandas data frames and insert into the database. I was looking for the most optimal way for series validation and insertion into the database. Performance was the main requirement. It was developed for developers to make data validation process easier and more convenient. Developer can also check the errors and skip invalid data.

• Built app architecture and wrote code
• Presented project to community and successfully integrated with other products
• Code reviews