Summary
Adrian Macal is a hands-on Data Engineer with over a decade of experience building production-grade data systems that run reliably at scale, including pipelines that process tens of terabytes per day. Comfortable across the full stack—from Terraform and CI/CD to DBT, Databricks, Snowflake, Kafka and low-level Rust and Go—he focuses on pragmatic, cost-aware solutions rather than slideware. He’s led teams to adopt engineering best practices (CI/CD, automated testing, data versioning) and driven measurable cost and performance improvements in ML and analytics workflows. His background spans real-time fraud detection, probabilistic ID R&D, and building observability and data-quality tooling to remove blind spots. Based in Munich, he signals a reader who actually reads by asking for “i13c” in messages—an understated marker of his preference for clarity and attention to detail.
11 years of coding experience
17 years of employment as a software developer
Bachelor, Computer Science, Bachelor, Computer Science at University of Wroclaw
Russian, German, English, Polish