Ignacy Janiszewski

Projects

• inteliLex
• Simplify Docs
• Pocket Shopper
• Pabulib
• Nauka dla Demokracji

Articles & Analysis

• [PL] Budżet Obywatelski w liczbach. Warszawa 2026
• [PL] Fałszerstwa wyborcze? Sprawdzam analizę dr. Krzysztofa Kontka
• Getting started with Apache Iceberg: local setup with MinIO, PyIceberg, and REST Catalog
• Understanding Slowly Changing Dimensions (SCD) with dbt
• Your first data engineering pipeline (Airflow + dbt)! Spotify Release Radar songs
• Airflow: How to model downstream for tasks dynamically mapped
• 10 Data Warehousing Tools for Robust Data Processing
• Upload Data from Google Shared Drive to BigQuery: Python Connector
• [PL] Czy w 2029 rozróżnimy jeszcze człowieka od chatbota?
• [PL] Sztuczna Inteligencja a Machine Learning
• [PL] Powrót do średniej

Experience

• MEKO (2023 - current) [-]
  Maintaining a Snowflake data warehouse using schemachange, Terraform, and GitHub Actions CI/CD. Building ELT pipelines from databases, APIs, and SFTP to Azure Storage and Snowflake, orchestrated via Airflow (on Kubernetes). Transformations handled in dbt with development using Docker-based containers. Responsible for business requirements gathering and conducting technical recruitment.
• Netguru (2022 - 2023) [+]
  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.
• Vodafone (2021 - 2022) [+]
  Migrated large-scale data pipelines from Teradata to BigQuery using Airflow and Google Cloud Composer.
• STS Gaming Group (2020 - 2021) [+]
  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.
• DXC Technology (2019 - 2020) [+]
  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.
• Samsung R&D Institute Poland (2018 - 2019) [+]
  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.
• ulam.ai (2018 - 2019) [+]
  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.
• Philips Poland (2017 - 2018) [+]
  Analyzed marketing and e-commerce data using Excel and Power BI. Worked with Adobe Omniture and eStoreCheck for digital analytics reporting and performance visualization.

Tech Stack

python • SQL • airflow • snowflake • dbt • terraform • docker • kubernetes • bash • regex • github actions • kafka • kafka connect • azure • postgres • S3 • redis • azure blob storage • google cloud storage

Public Speaking

• PaBuLib: Participatory Budgeting Library
• Machine Learning for Beginners
• About inteliLex

Interviews

• Wolters Kluwer interview part 1
• Wolters Kluwer interview part 2
• Wolters Kluwer interview part 3
• Wolters Kluwer interview part 4

Interests

Tennis • Kitesurfing • Participatory Budgeting

Sport Achievements

• Wings for Life World Run 2025 Poznań — 4 May 2025 (23.06 km)
• Silesiaman Triathlon Pszczyna (1/8 IM) — 25 May 2025 (01:12:45)
• Frydman Triathlon (Olympic Distance) — 28 June 2025 (2:36:32.3)
• IRONMAN 70.3 Kraków — 3 August 2025 (5:17:36)

Languages

• Polish — Native
• English — Full Working Proficiency
• Spanish — Basic

Education

• Bachelor — Krakow University of Economics