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Klaudia P.

Back-end Python Developer

Experience

+5 years

Availability

Immediately upon request​ ​

Education

Computer Science Bachelor’s Degree

Languages

  • Spanish intermediate
  • English fluent
  • Polish native

Hobbies

Experience

Backend Developer with 6 years of experience in Python, FastAPI, and cloud solutions on GCP and Azure. Specialized in API development, ETL pipelines, and data processing with Docker, Kubernetes, and CI/CD integration.

 

Backend Software Developer at Cactus

02/2023 – till now

 

Architected and implemented APIs and RESTful services with FastAPI and TypeScript, applying advanced algorithmic solutions to optimize backend performance and functionality based on Python, Fast API, typescript, InfluxDB, Postregsql, sqlalchemy, Docker, Kubernetes, Pytest, NATs, mqtt.

 

Cloud Engineer at Sword

05/2022 – 01/2023

 

Collected, transformed, and streamlined data from luxury brands to support analytics and reporting needs. Built ETL pipelines, ensured data quality, and handled bug resolution with CI/CD and unit tests. Google Cloud Platform, Airflow, dbt, Python, CI/CD, Unit testing.

 

Backend Software Developer at DS Stream

01/2021 – 04/2022

 

The project involved data processing and analysis of marketing data using artificial intelligence (AI) techniques. Utilized advanced algorithms and machine learning models to extract valuable insights from large datasets, enabling businesses to make data-driven marketing decisions with confidence. Google AdWords, GCP, Kubeflow, Python, Selenium, Robot Framework, Flask API, Tensor Flow, Docker, CI/CD with Azure DevOps.

 

Python & Cloud Engineer at CGI

06/2019 – 12/2020

 

Process data related to mobile phones and setting up a robust environment on the Google Cloud Platform (GCP) along with the necessary APIs. Terraform, Python, Kubernetes, flask API, open API, Redis, big query, docker, GCP.

Software Developer at IITune.net

06/2018 – 02/2019

 

Involved in designing and implementing systems that collect, validate, and store large volumes of stock market data, such as stock prices, trading volumes, and other relevant financial indicators. Once the data was collected and stored, I then worked on developing a neural network-based system for processing and analyzing this data to analyze patterns, trends, and correlations in the data. C#, .net framework 4.6, Python, Numpy, MVC, MongoDB, Unit testing.

Technologies

Languages

Python, Typescript, .NETC#

Databases

PostgreSQL, MongoDB, Mysql, Bigquery, Redis, InfluxDB

Cloud

Azure Cloud, GCP, Kubernetes, Terrfaform

Development Tools

Git, Docker, Fast API, Flask, REST, Selenium, Robot Framework, CI/CD, SOAP, Numpy, ORM, SqlAlchemy, Pub/Sub, Apache Airflow, Dataflow, DBT, TensorFlow

Methodologies

Agile, Domain-Driven Development

Others

GitLab CI/CD, Azure pipelines, Grafana, Jira