Konrad Karolak
Cloud Data Engineer - Data Lake Reliability
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolKonrad Karolak is a Cloud Data Engineer specializing in data lake reliability with eight years of experience building and stabilizing large-scale ETL pipelines across finance and SaaS industries. He combines hands-on Airflow orchestration, BigQuery and Snowflake optimization, and pragmatic automation to keep hundreds of production pipelines healthy and performant. At Applied Systems and prior roles he has implemented self-healing DAGs, dynamic task generation to alleviate bottlenecks, and custom operators to process massive files efficiently. His background in analytics and a Machine Learning Nanodegree inform a data-first approach to engineering—translating complex data sources into reliable, production-ready feature stores. Comfortable in on-call rotations and cross-functional release processes, he brings a proven track record of reducing operational toil while preserving data integrity. Outside of work he describes himself as an "aspiring Airflow whisperer," signaling a focus on orchestration craftsmanship beyond typical engineering duties.
8 years of coding experience
6 years of employment as a software developer
Ontario College Graduate Certificate, Bioinformatics, 4.0 GPA, Ontario College Graduate Certificate, Bioinformatics, 4.0 GPA at Seneca College of Applied Arts and TechnologyMachine Learning Engineer Nanodegree, Machine Learning Engineer Nanodegree at UdacityBachelor’s Degree, Neuroscience, First Class Standing, Bachelor’s Degree, Neuroscience, First Class Standing at Brock UniversityProgramming languages (1)
Github contributions (5)
jkMLnop/Stick-Shift
Jun 2019 - Jul 2019
Contributions:107 commits, 33 pushes in 1 month
jkMLnop/Spark-Game-of-Thrones-CC
Jul 2019 - Aug 2019
Contributions:10 pushes, 1 branch in 4 days
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