About Me
I am a Data Engineer with a PhD background, working on end-to-end data products in modern data mesh environments.
In my current role, I take ownership of data products from requirement gathering with business stakeholders to data modeling, pipeline development, and delivery to BI tools.
My background spans business intelligence, machine learning, and software development, allowing me to bridge the gap between data engineering and analytics.
Expertise
Data Systems
Development and maintenance of scalable data pipelines using technologies such as Dagster, PySpark, and Azure Databricks within lakehouse and data mesh architectures.
Data Products
Design and ownership of end-to-end data products, from raw data ingestion to analytics-ready datasets, ensuring reliability, usability, and clear ownership within data mesh environments.
Analytics Engineering
Building scalable data models and transformations using dbt and modern data stack, enabling structured, well-documented datasets for business intelligence and reporting.
Stakeholder Collaboration
Close collaboration with business domains to translate requirements into data solutions, ensuring alignment between technical implementation and business needs.