• General Info
  • Experience
  • Education
  • Certificates
A
Python Developer
country flag
Aryna UTC+3
Available starting: May 12 On-site, Remote, Hybrid
Middle+
43.75 $/hour 7000 $/month (160 hours/month)
rent from 1 month
General Info
Role
Python Developer
Grade
Middle+
Key skills
Python
SQL
Node.js
JavaScript
Docker
NLP
SpaCy
Git
GitHub
NoSQL
Databases
Jupyter Notebook
Visualization
Matplotlib
Seaborn
Numpy
Pandas
REST
Flask
FastAPI
Sequelize
Transformers
Celery
Redis
Streamlit
Spark
PySpark
Apache Airflow
Alembic
GitHub Actions
Kubernetes
MySQL
PostgreSQL
MongoDB
Object
Google
Intellij IDEA
Visual Studio
Visual Studio Code
PyCharm
WebStorm
Languages
  • English - B1
Domains
Artificial Intelligence & Robotics
Automotive
Big Data & Analytics
BioTech, HealthTech & MedTech
Coding and Development
Consulting Services
Consumer Electronics
Consumer Goods
Consumer Products and Services
Consumer Services
Consumer Tech
Data Centres & Data Management
Developer Tools
EdTech & Training
Future Mobility & Transportation
Information Security
Machine Learning
Marketing Tech & AdTech
Marketplaces
Retail & E-commerce
Robotics
Social Media
Telecommunications
BIO
Software developer with experience in the software application design and development using Python, NodeJS Good in object-oriented design and analysis Applied skills in exploratory data analysis and visualization Understanding of major areas of Machine Learning including Prediction, Classification, and Clustering Understanding of REST principles and experience with web services frameworks like Flask Easy learning, open for new technologies and knowledge, responsible, sociable and stress-resistant
Type of engagement
Specialist's location
Belarus, Minsk, UTC+3
Ready for relocation
Yes
Partner's location
Belarus country flag
Experience 8  (6 years 5 months)
Data Engineer Training.
Role
Software Developer
Description of Project
The main goal of this project is to prepare developers for future projects related to ETL on Spark/Kubernetes stack. We developed two Python applications. The first one to connect to the BigQuery instance on Google Cloud and generate a table with sample data. The second to perform data extraction from BigQuery and transformation using PySpark and load results as a file into Google Cloud Storage. PySpark application run on minikube and deployed on Google Kubernetes Engine cluster.
Responsibilities
Develop Python applications.
Technology Stack
Python, PySpark, Minikube, Docker, Github, BigQuery, Google Cloud Storage, Google Kubernetes Engine, Artifact Registry.
Period
01.2019 — until now (6 years 5 months)
Education
School
Belorussian State University
Degree
Bachelor's Degree
Field Of Study
Mathematics and Computer Science
Year of graduation
2019
Certificates 9
School
University of Washington
Title
Machine Learning Specialization, a 4-course specialization
Date
2019

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