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Data Masters

Ilija logo

Ilija

Not available

Data Engineer @ Data Masters

Senior
Seniority
GMT+01:00, Wien, Austria
Location & Timezone
$80 - $90/hr
Average Hourly Rate
Macedonian, English, German
Languages

Top skills

Microsoft Fabric
Data Vault
PySpark
Apache Spark
Databricks

About

Highly skilled Data Architect, Data Engineer and Data Scientist with deep expertise in Microsoft Fabric–aligned platforms. Proven in designing end-to-end Lakehouse ecosystems using Azure, Spark, Power BI and OneLake, enabling real-time analytics, self-service BI and scalable ML pipelines. Expert in Data Vault, medallion architectures and automation-first delivery that drives operational efficiency, trusted insights and data-driven decision making

Top skills

Verified by Pangea.ai due diligence

Top SkillsCurrent UsageSeniority
Microsoft Fabric
40%5 years
Data Vault
20%5 years
PySpark
20%5 years
Apache Spark
10%5 years
Databricks
10%1 year

All skills

Roles and tools, to bring ideas to life and create meaningful experiences

Data Analytics and Visualization

Professional experience

Explore a curated selection of projects highlighting Ilija's expertise and experience. Each project aims to showcase challenges, solutions, and the final outcome, along with the tools and technologies used.

Under MNDA
Data Engineer — Data Engineer
Project structure directly reflects Microsoft Fabric’s architecture—Lakehouse (Bronze, Silver, Gold), Power BI integration, and Data Vault implementation within OneLake-like unified storage. Developed an end-to-end data enablement lakehouse platform based on the medallion architecture, leveraging PySpark and Spark Streaming. Automation played a key role in ensuring scalability and consistency in data processing. A data vault architecture was implemented within the silver layer to support structured, traceable, and audit-ready data integration.
Data Analytics and Visualization
RetailTech
FinTech
Big Data & Analytics
Database Design & Management
+8
Under MNDA
Data Scientist and ML Engineer — Data Scientist and ML Engineer
Led a project to manage and improve a real-time IoT anomaly detection engine using Apache Spark and Scala. Real-time streaming and CI/CD with Jenkins and Kafka support Fabric Real-Time Analytics and operational pipelines in a Fabric environment.
Data Analytics and Visualization
Telecommunications
Big Data & Analytics
Database Design & Management
Data Engineering
+5
Under MNDA
Data Scientist — Data Scientist
Contributed to the development of a demand forecasting solution for a retail client, leveraging historical sales data and external variables. Designed and deployed the entire data pipeline and model architecture within the Azure ecosystem.
AI & ML Solutions
RetailTech
Data Engineering
Python
Azure App Service
+3

Preferred tools

View the preferred tools and apps used by Ilija to assess compatibility and alignment.

Azure
Azure
Git
Git
Jira
Jira
Microsoft
Microsoft
ClickUp
ClickUp
Google Drive
Google Drive

Career highlights

Discover Ilija’s professional journey, including employment history, certifications, and educational background.

Data Engineer
Retail⸺2023 - Present
Developed an end-to-end data enablement lakehouse platform based on the medallion architecture, leveraging PySpark and Spark Streaming. Automation played a key role in ensuring scalability and consistency in data processing. Implemented a data vault architecture within the silver layer to support structured, traceable, and audit-ready data integration.
Data Scientist and ML Engineer
Telco⸺2022 - 2024
Led a project to manage and improve a real-time IoT anomaly detection engine using Apache Spark and Scala. Conducted performance analysis, researched statistical methods, and utilized various technologies. Supported Fabric Real-Time Analytics and operational pipelines in a Fabric environment.
Data Scientist
Retail⸺2020 - 2020
Contributed to the development of a demand forecasting solution for a retail client, leveraging historical sales data and external variables. Designed and deployed the entire data pipeline and model architecture within the Azure ecosystem.

Testimonials

Anonymous

Data Masters

Verified Testimonial

“Ilija is one of the rare profiles who truly operates at the intersection of architecture, engineering and advanced analytics. From building Microsoft Fabric–aligned Lakehouse platforms to delivering production-grade Spark pipelines and ML models, every solution was designed with scalability, governance and business value at its core. He consistently transformed fragmented data into unified, automation-first platforms that enabled real-time analytics, self-service BI and predictive modeling across retail and telecom environments“

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