Valentin MagdićVM
Open to opportunities

Valentin Magdić

@valentinmagdi

Experienced data engineer specializing in Elasticsearch and big data solutions.

Croatia

What I'm looking for

I am looking for a role that challenges me with complex data problems, offers opportunities for growth, and fosters a collaborative team environment.

I am a seasoned data engineer with over 13 years of programming experience, including more than 7 years in a professional capacity. My expertise lies in data engineering, search infrastructure, and big data solutions, with a strong focus on Elasticsearch, ETL pipelines, and large-scale distributed systems. I thrive on solving complex data challenges and enjoy building data pipelines, optimizing search systems, and leveraging machine learning for analytics and insights.

Throughout my career, I have achieved significant milestones, such as managing the largest European Elasticsearch cluster and optimizing its performance at scale. I have also built an on-premise Spark cluster on Ceph and designed numerous ETL pipelines using various frameworks. My passion for data drives me to continuously seek knowledge in AI, search optimization, and large-scale data processing, while I actively work on personal data projects in my free time.

Experience

Work history, roles, and key accomplishments

OP
Current

Elasticsearch Consultant

OpenSourceConnections

Apr 2024 - Present (1 year 1 month)

Provided on-demand consulting services to clients, focusing on optimizing and scaling Elasticsearch clusters for high-performance search workloads. Enhanced search relevancy, query performance, and indexing strategies while offering technical guidance and best practices for Elasticsearch implementation.

ZA

Elasticsearch Consultant/Data Engineer

Zalando

May 2024 - Nov 2024 (6 months)

Analyzed and enhanced search infrastructure and performance, ensuring scalability and reliability for high-traffic workloads. Developed and automated data pipelines to streamline processing and ingestion, and monitored search and data systems to ensure stability.

Education

Degrees, certifications, and relevant coursework

FI

Faculty of Organization and Informatics

Masters Degree, Informatics

Activities and societies: Developed an Intelligent Multi-Agent System for Cryptocurrency Market Analysis; Researched and established a new methodology for vulnerability scanning tools evaluation; Created a computer game using Unity.

Completed a Master's Degree focusing on informatics and data analysis. Developed a self-sustaining multi-agent system for cryptocurrency market analysis as part of the Master's Thesis. Conducted research on vulnerability scanning tools evaluation methodologies.

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