Ignacy Janiszewski

Senior Data Engineer & Chief Garlic Officer @ pabulib.org

Hello!

I'm Ignacy and I work with data. Currently at MEKO (a Swedish company) where I handle Snowflake data warehouse, build ETL pipelines, and pretend I know what I'm doing in DevOps.

On the side, I collect and publish participatory budgeting data at Pabulib. I'm also building Plenumos to help people share files at conferences without the usual email attachment chaos. I run Fidamicus, a small experiment inviting people from all around the world to meet offline for an intellectual exchange.

Sometimes I write. Usually about data, civic tech, and participatory budgeting. You'll find my articles below.

Outside work, I'm all about movement: triathlon (did a half IRONMAN, eyeing the full distance next. Ever wonder what it's like to be mediocre at three sports at once? 😅), skiing when there's snow, tennis when the courts are available, and kitesurfing when the wind shows up.

I also dance Lindy Hop on Kraków's dance floors. Turns out swinging to jazz is a pretty good cure for staring at SQL queries all day.

Fun fact: I once tried acting. Yes, there's video evidence.

Primary Stack Python · SQL

Experience 5+ yrs

Focus Data Platforms & ELT

Location Kraków / Remote

The most important thing I discovered a few days after turning 65 is that I can't waste any more time doing things I don't want to.

La Grande Bellezza

Pabulib

Open PB datasets and reports. Explore more on the Pabulib page.

Tech Stack

python
SQL
airflow
snowflake
dbt
terraform
docker
kubernetes

Articles

Title

Date

Platform

Experience

Building and maintaining cloud-native data platform on Azure and Snowflake. Developed ELT pipelines extracting data from internal company databases, third-party APIs, and SFTP sources, loading to Azure Blob Storage (data lake), then transforming in Snowflake using dbt with medallion architecture. Orchestrating workflows via Airflow deployed on Kubernetes with Docker-based development environment. Managing data warehouse schema changes with schemachange and infrastructure as code using Terraform. Implementing CI/CD pipelines with GitHub Actions. Exposing data through department-driven data products. Responsible for business requirements gathering and conducting technical recruitment.

Built People Data Warehouse with pipelines from S3 to Snowflake, including feature engineering for ML purposes. Designed serverless architecture for Project X (Python, AWS Lambdas, SQS, Postgres, Terraform). In Project Y, processed XMLs using Glue + PySpark, transforming to Parquet and querying via Athena.

Migrated large-scale data pipelines from Teradata to BigQuery using Airflow and Google Cloud Composer.

Created data monitoring systems using Redis and email alerts. Built data pipelines from third-party APIs and Google Drive to BigQuery. Maintained Kafka Connect clusters on Kubernetes with Debezium connectors to stream data from MySQL to Kafka to BigQuery. Wrote analytics reports in SQL.

Developed data pipelines using Apache Airflow. Refactored and productionized data science workflows by translating Jupyter notebooks and Knime flows into Python applications. Collaborated with data scientists to operationalize and scale their solutions.

Intern in the NLP team, focused on advanced natural language processing and language modeling. Worked on Polish language data and machine learning-based text processing techniques.

Built chatbots on Messenger, performed data scraping from various online sources, and implemented basic statistical models in Python. Worked on prototyping machine learning features and user-facing bot interactions.

Analyzed marketing and e-commerce data using Excel and Power BI. Worked with Adobe Omniture and eStoreCheck for digital analytics reporting and performance visualization.

Talks

Interviews

Sports

Upcoming challenges

Recent races

Date

Event

Result

12 Oct 2025

11th Cracovia Royal Half-Marathon