Filip Wojtkowiak

Senior Data Engineer

+48 881 520 634
Skórzewo / Poznań ◉
Core Expertise
Python 10 years of programming experience
Snowflake Advanced Data Engineer Certified
dbt Core & Cloud Data modeling & transformations
Cloud Architecture AWS & Azure ecosystems
CI/CD & DevOps GitHub Actions, GitLab CI, Terraform
Data Vault Enterprise modeling architecture
Experience
Data Engineer / Consultant
Self-employed, Poznań
Senior consultant on Snowflake/Azure Data Warehouse engagement. Scaled engineering team from 2 to 6 developers while establishing coding standards, documentation practices, and development processes. Led legacy migration, built automated CI/CD pipelines with GitHub Actions, and decoupled ingestion from transformation layers.
Snowflake dbt Python Azure Airflow GitHub Actions
Data Engineer
Netguru, Poznań
Built and maintained data pipelines for marketing analytics in the insurance sector. Drove PoCs, automated data migration, and engineered features for the ML Ops team. Optimized Snowflake costs and query performance. Consulted on internal HR analytics platform and conducted technical interviews.
Snowflake AWS Terraform dbt Core GitLab CI
Data Engineer
Capgemini, Poznań
Designed and built a Snowflake data warehouse from the ground up. Developed ETL/ELT pipelines in Python on AWS using CDK. Implemented RBAC model, managed infrastructure, and drove cost optimization initiatives.
Snowflake Python AWS (Fargate, Lambda, Glue) CDK
Data Engineer → Lead Data Engineer
Roche Polska, Poznań
Led the migration of one of the company's largest data warehouses from Teradata to Snowflake on AWS. Built automated refactoring scripts for Informatica jobs and designed the historical data migration strategy.
Snowflake AWS Teradata IPC
Data Vault / ETL Developer
CGI Polska, Poznań
Delivered ETL solutions across 3 concurrent projects: primary developer for a Data Vault warehouse, contributor to a Kimball-style warehouse, and 2nd line support for IPC and SAP BO environments.
SSIS SQL Server IPC
Off the Keyboard

Data-Driven Rock Climbing

For years, I've spent almost every free moment out at the crags. Rock climbing is a sport that demands not just physical strength, but meticulous problem-solving, focus, and route-reading — skills that translate surprisingly well to Data Engineering.

Analyzing the Ascents

As a Data Engineer with 10 years of Python experience, I couldn't resist treating my climbing logs as a dataset. I use custom Python scripts (utilizing Pandas and Matplotlib) to scrape and analyze my ascent data from platforms like 8a.nu. This allows me to track my grade progression over the years, evaluate my success rates between On-Sight and Red-Point styles, and optimize my training cycles.

Preferred Style

Sport climbing with a focus on long, endurance-heavy routes on limestone.

Favorite Regions

Jura Krakowsko-Częstochowska (PL), Arco (IT), Margalef (ES).

Get in touch

Let's Talk Data (or Climbing)

I'm always open to discussing complex data architecture challenges, Snowflake optimization, or exchanging beta on the best climbing routes. Feel free to download my resume or drop me a message directly.

Download CV (PDF) LinkedIn Profile

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