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Data Platform Engineer at National Instruments
Experienced Oracle DBA with expertise in database administration, optimization, and troubleshooting, combined with a strong background in SQL Server maintenance and upgrade. Experience with developing machine learning algorithms, time series analysis, and deep learning. Proficient in Oracle Database Administration, Oracle RAC, Data Guard, Exadata, RMAN, ASM and both SQL and NoSQL databases. Familiar in AWS, Azure, OCI, Python scripting, Ansible, data analysis, neural networks, and Agile methodologies. Adept at cloud services, backup & recovery, and data engineering.
Debreceni Egyetem
Bachelor’s Degree, Computer Science Engineering
January 1, 2013 – January 1, 2018
NI (National Instruments)
Data Platform Engineer
March 1, 2026 – Present
NI (National Instruments)
Oracle Database Administrator
July 1, 2019 – March 1, 2026
Dyntell
Machine Learning Developer
March 1, 2017 – July 1, 2019
Hungary
Microsoft
Microsoft Student Partner
September 1, 2016 – June 1, 2018
Budapest
Harshicorp Terraform
Udemy
June 24, 2026 – Present
Snowflake – The Complete Masterclass
Udemy
June 24, 2026 – Present
Power BI Administration: Administering the Power BI Service
Udemy
June 24, 2026 – Present
Oracle Cloud Infrastructure 2023 Certified Foundations Associate
Oracle
June 24, 2026 – Present
AWS Certified Cloud Practitioner
Amazon Web Services (AWS)
June 24, 2026 – Present
Microsoft Professional Program Certificate in Data Science
Microsoft
June 24, 2026 – Present
Data Science Professional Project
Microsoft
June 24, 2026 – Present
Applied Machine Learning
Microsoft
June 24, 2026 – Present
Principles of Machine Learning
Microsoft
June 24, 2026 – Present
Programming with Python for Data Science
Microsoft
June 24, 2026 – Present
Data Science Essentials
Microsoft
June 24, 2026 – Present
Introduction to Python for Data Science
Microsoft
June 24, 2026 – Present
Analyzing and Visualizing Data with Excel
Microsoft
June 24, 2026 – Present
Querying with Transact-SQL
Microsoft
June 24, 2026 – Present
Data Science Orientation
Microsoft
June 24, 2026 – Present
Statistical Thinking for Data Science and Analytics
Columbia University
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background, transitioning from ML Developer to Database Administrator and then Data Platform Engineer. While this shows adaptability, the recent roles are less directly aligned with a pure ML Engineer position. The earlier ML experience (2017-2019) is relevant, but the subsequent roles suggest a shift towards data platform and administration, which might indicate a different career trajectory or a need to re-align with ML-specific work. The breadth of skills is good, but the depth in current ML practices needs validation.
Soft Skills & Operational Fit
The candidate's experience as a Microsoft Student Partner suggests good communication and organizational skills. Their role as an Oracle Database Administrator involved on-call duty and Agile methodology, indicating adaptability and reliability. However, the resume lacks specific examples of problem-solving or collaboration in an ML context.