Sergei Senchilo Email & Phone Number

Chile

United States

Santiago, Santiago Metropolitan Region, Chile

Santiago, Santiago Metropolitan Region, Chile

Santiago, Santiago Metropolitan, Chile

Santiago Province, Chile

- Django and Flask REST backends- data gathering, processing, cleaning, aggregation- web scraping (requests, scrapy, selenium, phantomjs)

Chile

On a short-term contract have built and launched Django web-application for analyzing the state of fish and shrimp ponds. In application users can:- create all primary data, such as ponds, sensors, sensors’ nodes, also manually enter sensors values;- monitor sensors values in real-time with informative color indication;- for any sensor or a group of sensors and any period of time build graphic chart in the matter of seconds to see all the history or, for example, compare similar sensors in the ponds. For the speedup was used time series data aggregation;- set several limits for sensors’ values to indicate attention demanding or critical situations;- create alerts policies for notification in the situations such as sensor’s value is higher or lower some limit for some period of time, or sensor doesn’t send values, or, for example, the sensor send data too rarely. Notification can be received through email or SMS (Mailgun, Twilio);- download sensors values for any period of time in CSV format;- the application can receive data from the sensors in the ponds through REST requests.Technologies: Python 3.6, Django 1.11, Django-REST, Django-Oauth, Pandas, PostgreSQL 9.6, Git, jQuery, Bootstrap

Russian Federation

Together with a distributed team developed a web-application "Budget-online" - enterprise level system for management, accounting, finance planning, human resources etc. The system is used in Russia by dozens of federal and municipal institutions with thousands of users. As the kernel we used the company’s own framework called M3, which in turn is based on Django.- supervised several modules of the system, implemented new and modified existing functionality in subsystems “Accounting”, “HR”, “Purchases”.- designed the architecture, API, database schema, user interfaces, and launched a number of modules.- together with the business-analysts worked through the requirements from customers, conducted decomposition, evaluated, prioritized tasks, performed code-review, planned work for 1-3 months in advance.- redesigned several modules, which simplified internal logic, increased maintainability, reduced number of database queries up to 5 times, reduced memory consumption up to 4 times, increased speed of data processing up to 3 times.- optimized asynchronous data processing, which decreased the time of processing up to 2 times, the number of consumed RAM up to 4 times, significantly increased the number of positive users feedback.- implemented parts of functionality for importing-exporting data to/from Excel, XML, DBF, built integration with external systems using SOAP in a few modules.Technologies: Python 2.7, Django 1.6, Django-REST, Celery, Sentry, Sphinx, jQuery, ExtJS 3.4, PostgreSQL 9.4, Redis, Mercurial, Git, Jira