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Rafał – Python, Django, PostgreSQL, experts in Lemon.io

Rafał

From Poland (GMT+2)

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Back-end Web DeveloperSenior
Hire developer
9 years of commercial experience
AI
Automotive
Aviation
Fintech
Machine learning
Communication tools
Geospatial software
Messaging software
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Rafał – Python, Django, PostgreSQL

Rafal is a seasoned back-end developer with nearly a decade of experience in the industry. His expertise spans back-end development using Python and Django, and his Machine Learning background makes him a versatile asset. He has contributed to projects across diverse domains such as automotive, banking, and aviation, demonstrating his adaptability and deep understanding of industry needs.

Main technologies
Python
7 years
Django
5 years
Additional skills
PostgreSQL
Kubernetes
Docker
Redis
Grafana
BigQuery
Cloud Firestore
GCP
CircleCI
REST API
FastAPI
Microsoft SQL Server
SQLAlchemy
Pandas
Alembic
Flask
Keras
CI/CD
Firestore
Apache Spark
Matplotlib
ELK
Ready to start
ASAP
Direct hire
Potentially possible

Experience Highlights

Senior Back-End Developer
Apr 2022 - Sep 20225 months
Project Overview

It is a feature in a platform for commercial airplane route planning which shows live data of all aircraft on the map, such as position, altitude, heading, pressure, speed, etc.

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Responsibilities:
  • Designed high-performance architecture for processing around 5000 complex data points per second;
  • Implemented data retention;
  • Carried out cache handling;
  • Prepared deployments;
  • Implemented parsing into pydantic data models;
  • Performed monitoring of multiple metrics and presented them on dashboards along with alerting system.
Project Tech stack:
Python
PostgreSQL
Kubernetes
Redis
Grafana
Docker
BigQuery
Django
Senior Back-End Developer
Feb 2022 - Jul 20225 months
Project Overview

It is a Slack-like messaging app allowing communication between pilots and airline dispatchers without using complicated protocols and machines.

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Responsibilities:
  • Designed crucial parts of the back-end in microservices-based architecture;
  • Built and implemented REST API endpoints for direct front-end usage;
  • Integrated back-end with Firestore;
  • Created Grafana dashboards for monitoring many parts of the solution.
Project Tech stack:
Python
Django
Cloud Firestore
GCP
Kubernetes
Docker
Grafana
Redis
PostgreSQL
Senior Back-End Developer
Sep 2021 - Feb 20225 months
Project Overview

It is a complex processor for Notice To Airmen (NOTAM) - messages sent to pilots. It filters and parses messages, performs database operations, and publishes events across many systems.

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Responsibilities:
  • Implemented parsing and database operations ;
  • Carried out and deployed workers;
  • Implemented monitoring of multiple metrics like errors, types of data, and load, along with alerts;
  • Developed endpoints for gathering NOTAMs;
  • Wrote unit tests.
Project Tech stack:
Python
Django
PostgreSQL
GCP
Kubernetes
Docker
CircleCI
REST API
Senior Back-End Developer
Mar 2021 - Sep 20215 months
Project Overview

It is the main tool for analysts in Financial Crime Unit used for managing the Know Your Customer procedure - a complex process which results in a decision if a company should start a relationship with a given client.

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Responsibilities:
  • Designed and implemented the whole back-end;
  • Created database models and optimized queries;
  • Prepared separate Docker containers for FastAPI and MSSQL deployments;
  • Implemented several REST endpoints for data gathering and data transformations.
Project Tech stack:
Python
FastAPI
Microsoft SQL Server
REST API
SQLAlchemy
Docker
Pandas
Alembic
Back-End Developer
Dec 2019 - May 20204 months
Project Overview

It is an app that reviews the picture of a wrecked car and immediately knows not only what's been damaged but also tells what would be the cost of repair, having a Machine Learning model.

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Responsibilities:
  • Implemented REST API as an interface for asking the model along with data streaming and image preprocessing with NumPy and OpenCV;
  • Prepared Dockerfiles with multistage builds;
  • Implemented all needed CRUD operations.
Project Tech stack:
Python
Flask
PostgreSQL
Pandas
SQLAlchemy
Docker
Keras

Education

2016
Quantitative Methods in Economics and Information Systems
Master

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