Tomas Ripsky

Data Engineer with hands-on experience designing and building scalable data platforms on Google Cloud Platform. Specialized in data pipelines, and data modeling using tools such as BigQuery, Airflow, Dataform and dbt.

Experience working in international environments and contributing to cloud migration projects and AI-driven solutions, including the development of data products and intelligent agents

Data Engineer for Deutsche Telekom at T-Systems (Deutsche Telekom) (2025-09 – Present)

• Contributed to the One Data Ecosystem initiative, migrating large-scale data from multiple systems and cloud providers into GCP to centralize enterprise data.
• Designed and maintained scalable data pipelines and data products used across multiple business units for analytics, machine learning and several others use cases.
• Developed and orchestrated workflows using Airflow (Cloud Composer) and dbt, ensuring reliable and automated data transformations.
• Worked with cross-functional international teams across Europe in a cloud-native data environment.
• Tech stack: BigQuery, Cloud Storage, Airflow, dbt, Spark, Git.

Data Engineer for Havas, Godo and several projects at hiberus (2024-07 – 2025-09)

• Built and maintained data ingestion and transformation pipelines in GCP for marketing and analytics use cases (Havas and other clients).
• Processed and structured data from multiple digital platforms using BigQuery, Dataform, and Cloud Functions.
• Developed AI agents using ADK and A2A protocols within GCP environments.
• Supported migration of data systems from AWS to GCP for Grupo Godó, working with Redshift, Airflow, and Python-based pipelines.
• Collaborated in a machine learning project focused on predicting student dropout rates for a Spanish university.

Data Engineer Intership at hiberus Aragón (2024-02 – 2024-07)

• Participated in the development of internal business intelligence solutions for public sector clients.
• Built data workflows using SQL, Python, and Airflow, and contributed to data visualization processes.
• Worked in a Data & AI team, gaining hands-on experience in data engineering practices.

Degree in Computer Engineering in Computer Engineering – San Jorge University (2021-09 – 2024-06)