🚀 Senior Data Leader | Cloud & ETL Specialist | FinTech & Startups
I lead data teams in FinTech, focusing on modern data infrastructure, scalable ETL pipelines, and cloud-native solutions. I enjoy designing automated data architectures and exploring new technologies.
- Building scalable ETL pipelines using Dagster, dbt, and Kubernetes.
- Designing cloud-native data solutions with Azure & AWS.
- Developing API connectors with dlt, DuckDB, and Polars.
- Modernizing legacy Java data pipelines to Python-based architectures.
Programming & Query Languages:
Cloud Platforms:
Data & Transformation Tools:
Development & API Tools:
- Modular API Ingestion – Built an extendable API ingestion framework using dlt, DuckDB, and Python, improving data integration efficiency.
- Automated Data Processing Pipelines – Created dbt-driven transformation workflows, enabling structured reporting and analytics.
- Dagster & dbt on Kubernetes – Designed a fully automated cloud-native data pipeline, reducing manual intervention and improving observability.
- Optimized Query Processing – Leveraged Polars and DuckDB to speed up data processing and enhance performance in analytics workloads.