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Schedule Interview NowMy name is Kostya O. and I have over 7 years of experience in the tech industry. I specialize in the following technologies: RESTful API, Scrapy, Python, Django, pandas, etc.. I hold a degree in . Some of the notable projects I’ve worked on include: IMDB crawler. I am based in Kyiv, Ukraine. I've successfully completed 1 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
Main technologies
7 years
1 Year
4 Years
4 Years
Potentially possible
DataArt
Certainly, here's a brief description of your project in English: Project Name: IMDB Data Scraping and FastAPI-Based API with MongoDB Project Description: My project represents an innovative solution for collecting and providing data about movies from the popular web service IMDB. The project is developed using the following key technologies: the Scrapy framework, MongoDB database, and the FastAPI web framework. Key project phases: Data Scraping from IMDB: Utilizing the Scrapy framework, a web crawler was created to extract movie-related information from IMDB web pages. This crawler automatically gathers details about movies, such as title, rating, director, cast, release year, and more. Storing Data in MongoDB: After successfully scraping data from IMDB, it is stored in a MongoDB database. MongoDB is a reliable and scalable NoSQL database, making it easy to store and manage a large volume of movie-related information. Creating a FastAPI-Based API: To provide access to the collected data, an API was developed using FastAPI. This web framework allows for the creation of high-performance and easily scalable web services. The API offers various queries, enabling users to retrieve movie information based on different parameters such as genre, rating, release year, and more. The project offers a convenient and efficient way to obtain information about movies from IMDB and can be valuable for researchers, movie enthusiasts, and application developers looking to integrate such data into their projects.
in
2015-01-01-2019-01-01