Kamil Marut

Team Lead & Full-Stack Engineer, Wrocław, Poland

Mobile: +48 732 008 331
Website: kamilmarut.com

Experienced engineering leader and software architect with a strong record of designing scalable systems, guiding teams, and driving technical strategy across data platforms and full-stack products.

Senior Data Engineer, Nearform (October 2025 – Present)
  • Rebuilt a legacy Python/Bash ETL into a DBT-based pipeline, cutting processing time from ~24h to a few hours, and reducing compute costs by nearly 10 times.
  • Provisioned and managed GCP resources using Terraform, including shared datasets, storage, and IAM setups for cross-team stakeholders.
  • Automated operational workflows with Python and shell scripts (e.g., deployment helpers, data-quality checks, scheduled maintenance jobs).
Freelance Lead Engineer & Software Architect, Majikode (January 2023 – Present)
  • Led the development of a Django-based SaaS for digital recordkeeping and secure data sharing, deployed and scaled on AWS ECS.
  • Modernized a high-traffic legacy system by redesigning the cache solution and refactoring outdated code, resulting in substantial performance improvements.
  • Created and deployed a FastAPI service on AWS Elastic Beanstalk to provide text-to-speech functionality based on the Kokoro-82M model for a mobile game.
  • Completed a full-stack implementation of a transactional billing system under a tight 30-day deadline.
Team Lead, Finmatics (February 2023 – September 2025)
  • Led a feature team of 10 engineers to develop the leading accounting software in the DACH region.
  • Partnered with product stakeholders to define, specify, and architect new features and improvements, guaranteeing efficient and accurate hand-off to engineering teams.
  • Guided the team through major management changes and company acquisition that came with substantial process changes.
Software Engineer, Finmatics (March 2022 – January 2023)
  • Created and maintained automatic quality control of a data extraction pipeline using historical data and dynamic rule sets.
  • Built a customer-facing subsystem allowing users to train AI models based on their specific datasets.
  • Replaced Redis with DragonflyDB after comprehensive benchmarking, result in a ~2x increase in cache performance.
  • Served as a key contributor to the overall system architecture.
Master of Science, Wrocław University of Science and Technology
Wrocław, Poland
2022 – 2023
Bachelor of Science, Silesian University of Technology
Gliwice, Poland
2018 – 2022
Languages: Python, TypeScript, SQL, Go, Elixir
Frameworks: Django, FastAPI, React, Next.js, Node.js
Databases: PostgreSQL, Redis, RabbitMQ, Elasticsearch
DevOps: Docker, Kubernetes, AWS, GCP, CI/CD, Terraform, PyInfra
GCP Cloud Engineer - Associate
Google
April 2022
AWS Certified Solutions Architect - Associate
Amazon Web Services
July 2021
WorkWave
A B2B SaaS application to introduce 'workation' as an employee benefit.
  • Led a team of 3 engineers to build a full-stack SaaS platform using Django and React.
  • Created Figma mock-ups to iterate with the client.
  • Set up the complete infrastructure including CI/CD pipelines, automated testing, and monitoring.
CILISSA
CILISSA allows for the user of various metrics to perform full-reference image comparisons.
  • Implemented the most popular full-reference image quality metrics, image transformations and translations
  • Developed an optional Qt-based graphical interface that lets you experiment with various operations, their orders and properties
Achieving Zero-Downtime Migrations in High-Traffic Django Systems
Django Vienna - Vienna, Austria
June 2025
Demystifying Python Modules and Imports: How Imports Really Work in Python
PyCon Austria 2025 - Eisenstadt, Austria
April 2025
Polish: Native English: Fluent German: Basic