I turn data chaos into pipelines, models, and dashboards people can actually trust.
Data Engineer · Data Scientist · Data Analyst
4+ years building scalable data platforms, AI solutions, and analytics that drive business growth
Top rated data specialist
15+ satisfied clients
About me
I'm a Data Specialist who's spent the last four years moving between three roles on the same data:
As a data engineer, I build the ETL and ELT that turns APIs, databases, and third-party sources into clean, reliable warehouses and lakehouses. As a data scientist, I build the churn, retention, and forecasting models that turn that data into a plan. As a data analyst, I build the dashboards that leadership actually opens every week, not just once.
Since 2023 I've run my own freelance practice, shipping Fabric and Databricks work for 15+ clients across insurtech, e-commerce, fitness, and SaaS. Before that, I was working in Robert Bosch migrating on-premise data to Azure.
I hold a BSc (Hons) in Business and Economics from the University of Belgrade, Department of Statistics and Informatics.
Languages: English (C1), Spanish (B2), Serbian (Native), Croatian (Native)

What that's actually delivered
Migrated 100% of e-commerce marketing and product data to Microsoft Azure
Reduced data processing and query latency by 40%
Cut manual data-handling effort by 20 hours per week
Reduced data-quality incidents by 50% through improved pipeline accuracy and reliability
Boosted pipeline throughput by 30 to 40%
Consolidated 5 manual, disparate processes into one governed pipeline
Optimized Fabric CU usage, reducing compute costs by 30%
Eliminated pipeline failures after introducing automated testing
What I work with
Cloud & Platforms
- Microsoft Fabric
- Azure Databricks
- Azure Data Factory
- Cosmos DB
- BigQuery
- OneLake
- Google Cloud Platform (GCP)
Programming & Query
- Python (PySpark, Pandas, Scikit-Learn)
- SQL
- KQL (Kusto Query Language)
- DAX
- M (Power Query)
Data Engineering
- ETL / ELT pipeline design
- Medallion architecture
- Delta Lake & lakehouse
- Automated testing, CI/CD
Analytics & BI
- Power BI
- Looker Studio
- Tableau
- Google Analytics
- API integration
Featured projects
A cross-section of engineering, modeling, and BI work across industries.
Bosch: On-premise to Azure Migration
Successful migration of e-commerce marketing and product data from on-premise to Azure, using Microsoft Fabric, Databricks, Azure Data Factory, and Cosmos DB, with automated testing across environments.
Insurtech Medallion Lakehouse
Full Microsoft Fabric end-to-end solution for an insurtech company: lakehouses, warehouses, and a bronze-to-gold medallion pipeline, PySpark transformations, and automation with data governance from day one.
HubSpot ⇄ Azure Integration
Built a reliable ETL and reverse-ETL connection between HubSpot and Azure, with a documented process diagram and a fully tested pipeline for production use.
E-Commerce End-to-End Analytics & Power BI
Delivered an end-to-end raw-to-dashboard solution for an e-commerce platform, integrating custom APIs and raw databases to surface executive insights on Revenue Growth, Conversion Rate, CLTV, retention, and performance metrics.
Churn & Retention Modeling
Predictive churn and customer-behavior models for e-commerce and SaaS clients, scored inside Databricks and surfaced back into a risk dashboard.
GA → BigQuery → Looker Studio
End-to-end marketing analytics pipeline for a NASDAQ-listed restaurant chain: raw Google Analytics data cleaned in BigQuery and modeled into ROAS and channel-performance reports.
Shopify App Competitive Analytics Audit
Ran a competitive analytics audit for a Shopify app, benchmarking its tracking and reporting against Google Analytics, Shopify Analytics, and SEMrush to identify gaps and opportunities.
Fitness Gym Customer Analytics
Retention and attendance dashboard for a gym chain: churn rate, active/inactive status shifts, walk-in conversion, and customer segmentation by visit frequency.
What clients say
Igor was an outstanding data engineer on my team, designing robust ETL pipelines with Azure Databricks, Azure Data Factory, PySpark, and SQL. He was instrumental in driving our adoption of Microsoft Azure while maintaining strict standards for Data Governance. He is an exceptional technical talent and a reliable teammate whom I highly recommend!
I worked with Igor on a data engineering project where he handled everything from API integrations with Airbyte to building out lakehouses in Microsoft Fabric using PySpark and SQL. He's the kind of data engineer who just gets things done, and done well. He communicates clearly and delivers clean, well-structured work.
Igor's expertise spans multiple domains, from data modelling implementation to security to architectural design. His technical proficiency is exceptional, and he consistently delivers high-quality solutions. Igor's commitment to excellence is evident in the quality of his work. He pays meticulous attention to detail, ensuring that our projects meet the highest standards. Igor is always accessible and responsive. Whether it's addressing queries or providing updates, he maintains excellent availability throughout the project lifecycle. He is busy, but is always clear on his availability, and will work to find a good time that suits. Igor's clear communication fosters effective collaboration. He actively seeks to understand requirements and articulates his ideas succinctly. Igor is a team player. His willingness to collaborate, share insights, and support colleagues contributes significantly to our success.
Working with Igor was an outstanding experience from start to finish. He demonstrated exceptional expertise in ETL development, Azure, HubSpot integrations, and data engineering. He successfully set up a reliable connection between HubSpot and Azure, designed a clear and professional graphical representation of the ETL and reverse ETL process for our business use case, and thoroughly tested the entire ETL pipeline to ensure everything worked flawlessly. His communication was excellent throughout the project, he consistently met deadlines, and his technical knowledge made the implementation smooth and efficient. He was proactive in suggesting improvements, paid close attention to detail, and delivered high-quality, production-ready work. I highly recommend him as he has strong skills in ETL pipelines, reverse ETL, HubSpot API integrations, Azure solutions, and cloud based data engineering. I would absolutely work with him again on future data engineering and integration projects.
Igor has done a good job for our e-commerce user behaviour analysis modelling work. He provides both insightful theories review and efficient program coding for us in a very short time.
I really liked working with Igor Kocic am looking forward to work with him again. He's very knowledgeable on the topic SQL, very fast on the task/delivering the results, his communication too is a top notch. Igor showed an active approach to the task and did price forecasting and other analytics tasks for my projects on Python.
Certifications
+17 more data-related certifications on LinkedIn