Python Developer

The candidate is a developer who mainly develops in Python, with which he has 3 years of commercial experience. He is currently working for a bank where he is involved in three applications. These are fullstack development and administration of internal applications. There he uses Flask, SQLAlchemy, REST Api, Pandas, Bootstrap. Also about PL/SQL script development and versioning in GIT, administration and development of ETL processes. He is also proficient in working with Alembic, Poetry, Semantic, SQL, MySQL, PostgreSQL. He uses English language to read technical documentation. He has experience in agile development and would have no problem continuing to work in an agile environment.

IT Freelancer - Python Developer

(3/2022 - Present)

• Full-stack development and administration of internal applications in Python. Development of PL/SQL scripts, version control using GIT, and management of ETL processes.

IT Freelancer - Python Developer

(8/2021 - 2/2022)

• Backend development of applications using Python, Flask, and SQLAlchemy. Development of procedures in MySQL.

IT Freelancer - Risk Infrastructure Specialist

(8/2017 - 2/2022)

• Full-stack development and administration of internal applications in Python. Development of PL/SQL scripts, version control using GIT, and application creation using VBA. Development, visualization, and automation of reports using Qlik Sense and NPrinting. Management and development of ETL processes using Talend.

IS/IT Specialist

(2/2017 - 7/2017)

• Analysis and automation of processes, and analysis of IT requirements solutions. Creation of invoice approval process and internal e-shop.

Data Analyst

(12/2013 - 1/2017)

• Creation of regular and ad-hoc analyses and reports. Development, visualization, and automation of reports using Qlik Sense. Creation of applications in VBA and estimation and analysis using econometric methods.

Own Project

• NHL Data Visualization Web ApplicationDevelopment of a web application using Python (Flask, Semantic UI, JavaScript). Daily loading of NHL data (JSON) to update the database (SQLAlchemy, PostgreSQL). Processing frontend requests (creating SQL queries) and data visualization using Plotly. Deployment on a Linux server platform.