Description

I help companies turn messy, scattered data into reliable, production-grade data platforms on AWS — built in Python, ready to scale.

With 14+ years in data engineering and software development, I design and build the full pipeline: from cloud infrastructure to ingestion, transformation, warehousing, and reporting. If you need data flowing cleanly from your sources into a place your team can actually use and infrastructure you can trust in production that's exactly what I do.

What makes me stand out: I deliver end-to-end.

Infrastructure-as-Code (Terraform, Pulumi),
orchestration (Dagster, Airflow, dbt),
AWS services (Lambda, S3, Redshift, EKS, API Gateway, MWAA),
and the BI layer on top (Metabase).

Add strong SQL across multiple dialects (PostgreSQL, Oracle, Snowflake, T-SQL) and a software engineering mindset clean -- OOP Python, async processing, and APIs — and you get a freelancer who can own a project rather than just fill a gap.

Projects and deliverables I typically handle:

- 🏗️ Cloud data platforms & data lakes — partitioned Parquet S3 lakes + Redshift/Snowflake warehouses

- 🔄 ETL / ELT pipelines — Python, Dagster, Airflow, dbt, Airbyte; batch and async

- ☁️ AWS serverless & backend — Lambda functions, API integrations, event-driven processing at scale (1M+ events)

- 🧱 Infrastructure-as-Code — Terraform / Pulumi, Docker, Kubernetes (EKS)

- 📊 Data warehousing & analytics — modeling, query optimization, dashboards (Metabase)

- 🐍 Python automation & scripting — for data, deployment, and tooling

Recent highlight: built a custom data platform integrating 7 sources into an S3 data lake + Redshift warehouse, orchestrated with Dagster/Python on Kubernetes — including an async Lambda pipeline pushing ~1M events to an external API within strict rate limits.

Also started side project

I work fluently in English, and Polish also able to communicate in German. Let's talk about what you're building.

Industry field of expertise

Languages

Polish
Native or bilingual
German
Conversational
English
Fluent

Workplace preferences

Can work on-site

Wroclaw (up to 30km)

VeVe
Senior Data Engineer
January 2023 - April 2026 (3 years and 3 months)
• • Built a custom platform that integrates data from 7 various databases and other sources into partitioned parquet based AWS S3 data lake and data warehouse (Dagster + Python/Airbyte on top of Kubernetes EKS cluster / Docker + Redshift).
• • Built async AWS Lambda-based processing pipeline sending ~1M events into API, processed in chunks, handling API limitations
• • Data Warehousing (Redshift), optimised query processing, Implemented and developed DBT models.
• • Created Metabase reports and dashboards.
• • Prepared infrastructure using Terraform and Pulumi (AWS S3 buckets, IAM roles and policies and contributed in AWS EKS setup/adjust)
Python AWS SQL Data Engineer Kubernetes
William Hill
Data Engineer
February 2022 - December 2022 (10 months)
• • Created data processing solutions based on AWS (mostly Lambda / Python along with AWS S3 but also API Gateway) and supported the creation of DBT models + work with SQL (Snowflake: queries, bulk data unloading).
• • Created data pipelines using Airflow (on-premises and AWS MWAA)
• • Prepared infrastructure using Terraform (AWS S3 buckets, IAM roles and policies)
Python Snowflake DBT AWS Lambda Apache Airflow
Capgemini
Senior Consultant/Senior Software Engineer
January 2021 - January 2022 (1 year)
• • Developed data processing AWS Lambda serverless functions in the cloud environment.
• • Created data pipelines and jobs orchestrating data processing in Apache Airflow.
• • Created database objects and developed data processing mechanisms within AWS Athena and Amazon Redshift.
AWS Lambda Apache Airflow SQL Python Docker