About
Skills & Expertise
Platform Engineering
Python, SQL, Redshift, PostgreSQL, Airflow, Iceberg, dbt, data modeling, query optimization, workload management
Infrastructure & Automation
AWS, Kubernetes, Terraform, Docker, CI/CD, orchestration, observability, platform automation
Technical Leadership
System design, architectural trade-offs, mentoring, engineering standards, stakeholder collaboration
Experience
Senior Software Engineer (Data)
Revolut
Senior Data Engineer
N26
Data Engineer / Manager
EY Data & Analytics APAC
Platform Architect
Mercedes‑Benz AG
Data Engineer / Consultant
Teradata & Think Big
Consultant
Clever Decision
Projects & Talks
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Redshift Data Sharing: Solving Workload Contention at Scale
Explored how Redshift Data Sharing can address workload contention in large-scale analytical platforms. Covered architectural trade-offs between shared and isolated compute, predictable query performance, resilience, cost allocation, and practical lessons from operating distributed Redshift deployments.
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Redshift Serverless in Production
Shared practical experience adopting Amazon Redshift Serverless in production, including evolving a monolithic Redshift deployment into independently scalable departmental workloads. Discussed performance isolation, workload characteristics, and the operational and financial trade-offs of different deployment models.
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Automated Photo Publishing Pipeline
Built a Python pipeline that publishes a photo to my Bluesky account each day. Uses AWS Rekognition for image analysis, the Google Maps API for reverse geocoding, and automated hashtag generation. Deployed on AWS using ECS, ECR, and S3.
Education
Bachelor of Computer Science
Unicorn University, Prague
