Andrii Shutka

DS Engineer / MLOps

andriy-shutka-450b3b5 a.shutka@intelliarts.com

IntelliartsAndrii Shutka

About Andrii

Andrii Shutka is an experienced data engineer and DevOps/MLOps who has shifted from system administration. With over 20 years in the technology industry, Andrii gladly shares his insights about data science and MLOps in particular.

Andrii contributes to the Intelliarts blog thanks to his vast expertise:

3 years of experience working as a data engineer and MLOps and over 20 years in computer science and computer information technology
AWS and SnowPro certifications
Strong understanding of virtualization and cloud computing
MS degree in system engineering, computer science, and computer engineering
Special interest in artificial intelligence and machine learning
Purpose-driven professional with a skill set required for being a strong team player and working on projects implying collaboration with independent contributors
A professional chess player and very skillful at shooting sports. He also loves challenges and computer games

Author’s articles

Big Data, Data Engineering, Data Science

Top Trends in Big Data for 2025 and Beyond

402.74 million terabytes of data for analysis are generated each day. Businesses that follow big data trends for decision making will always have an edge.

Data Analysis, Data Engineering, Data Science

Data Analysis as the Key to Business Success

Data analysis in business is on the rise. From supporting decision-making to providing an overview of customers and the market — analytics offers it all.

Data Engineering, Data Analysis, Machine Learning

Time Series Analysis in Action: 6 Real-Life Case Studies

Business analytics has always been useful for decision-making. Explore what time series analysis is and how to leverage it based on the top 6 real-life cases.

Technology Consulting

What Is a Technology Audit and Why Does Your Business Need It

In the ever-evolving world of IT, technical audits are one of the means of progressing, staying compliant, and growing as a more competitive business.

Big Data, Data Science

How to Build a Big Data Strategy: From Goals to Decisions

To achieve business success, having a proper big data strategy is a must. Read the post for an insight into the strategy components and steps to build one.

Big Data, Machine Learning

Data Pipelines in Depth: Architecture types, Tools and Business Use Cases

Gain in-depth insights into data pipelines. Understand key components, diverse types, and how they drive business decisions and growth in various industries.

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