I’m a Machine Learning & Data Analytics Engineer with over 5.5 years of experience architecting end-to-end data systems, automated pipelines, and actionable business intelligence. Holding a Master’s degree in Computer Science from TU Berlin with a specialization in Machine Learning, I bridge the gap between complex AI/ML modeling and production-grade data engineering.
Currently at ICE, I engineer dbt transformation layers in Snowflake, deploy containerized AWS cloud infrastructure (ECS/Fargate, Step Functions, Pulumi), and build self-service data products. My work focuses on replacing heavy manual workflows with scalable automation—slashing recurring reporting cycles by up to 98%, stabilizing critical data pipelines, and managing cross-functional stakeholder requirements.
Architected automated AWS (ECS, Step Functions) and dbt/Snowflake pipelines using Pulumi, reducing manual workflows by 75% and cutting monthly reporting time from 80 hours to 1–2 hours.
Developed multiple ETL pipelines and dashboards that served over 100+ stakeholders across the GFTX, KATO, and GFBB.
Designed data pipelines and data marts using Airbyte, SQL, and dbt, and developed dashboards for marketing, finance, and executive teams, providing accurate, actionable insights to support critical business decisions.
Developed and maintained ETL pipelines and data marts using SQL in BigQuery, and created interactive dashboards in Looker to serve various stakeholders.
Designed data pipelines and dashboards for various stakeholders
Designed dashboards for various customers
Building efficient data pipelines to streamline data processing and integration.
Creating interactive dashboards to visualize key insights and metrics.
Providing in-depth data analysis to support data-driven decision-making.
Developing machine learning models for predictive insights and automation.
If you’re interested in collaborating or need assistance with a project, feel free to reach out to me on LinkedIn or via the email provided above. I look forward to connecting and exploring how we can work together!