A highly skilled Data Engineer with a Master's degree in Data Science (Applied Mathematics and Informatics) and a proven track record of designing and building greenfield data architectures. I believe that information is the key to make everything in life more efficient, structured, visualized and, consequently, beautiful. Data science makes everything illuminated in the eye of the beholder. Yet, it's Data Engineering that feeds the data for science. And without proper Data Architecture, no amount of engineering in a vacuum will get you where you need to be as an organization. I do all three on occasion. Modern Data Stack or on-premise only - I have years of experience getting value out of the data.WHAT I'M GOOD AT:Data Architecture, Data Engineering, Data Modeling, Data Analytics, Analytics Engineering, building Data Platforms to empower analytics and business, Data Catalog, empowering Data Governance initiatives, enhancing overall organizational Data Maturity, being your everyday friendly neighbor Data Ninja.WHAT I'M GOOD WITH:SQL, Python, Dagster, Postgres, Greenplum, Apache Spark, Polars, Pandas, a little bit of Rust... and hungry to learn anything new to better fit business requirements.
Listed skills include Oracle, Sql, Pl/Sql, *Nix, and 10 others.