

Peter Jurko
Data Engineer | Data Analyst
Welcome
Hi, I am Peter!
Welcome to my page! I'm currently open to exploring new opportunities and experiences.
You can download my CV for a detailed look at my skills and background.
If you'd prefer a quick overview, just scroll down to learn more about me.
Feel free to reach out-I look forward to hearing from you.
Wishing you a fantastic day!
Core Competencies
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Experienced and dedicated Data Engineer and consultant with 10 years of experience with database systems,
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Proven ability to establish and maintain clear and professional communication and relationships with clients or business stakeholders,
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Proficient in an assortment of technologies, including SQL, Python, Snowflake, Dimensional modeling, Agile Methodology, and more,
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I am eager to expand my knowledge of cloud solutions and stay at the forefront of emerging technologies.
Previous Roles
2022 - Present
Data Scientist
TD Synnex
Prague, Czech Republic
2021 - 2022
Development leader
Neit Consulting
Prague, Czech Republic
2018 - 2021
Business Intelligence & DWH Consultant
Neit consulting
Prague, Czech Republic
2015 - 2018
Business Intelligence Specialist / Reporting Specialist
Henkel
Bratislava, Slovak Republic
Education
2010 - 2015
University of Zilina
Master's Degree in Postal Engineering
Zilina, Slovak Republic
Certification
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Hands-On Essentials: Data Engineering Workshop
Snowflake, 2024
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Hands-On Essentials: Data Warehousing Workshop
Snowflake, 2024
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Learn Git & GitHub Course
Codecademy, 2024
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Build Python Web Apps with Django Skill Path
Codecademy, 2024
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Python 3
Codecademy, 2024
Key Achievements
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I developed my own budget tracking application in Python, which allowed me to deepen my knowledge of Python, Azure, GitHub, Snowflake, and Copilot.
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Volkswagen Financial Services -Datawarehouse: The project's goal was to create a data warehouse from the ground up. The technology Data Vault was utilized to build the entire solution that set this project apart from others.
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Henkel SSC - BC Team: Optimized and automated reporting processes, reducing monthly reporting time from 12 MD to just 2 MD.