Hi, I'm Nikola!
Data engineering is not a job for me, but rather a passion I enjoy learning about in my spare time. I love building robust data pipelines that enable effective decision-making and contribute to the creation of products that delight end-users.
Solid experience in navigating complex business environments and overcoming technical challenges while delivering high-quality solutions under tight deadlines.
Key Skills:
AWS/Azure/GCP, Databricks/Snowflake, Python/Scala, Spark, Airflow, Dbt/ETL, Terraform, GenAI
Personal Projects

Google Analytics Tinkering (2023)
Integrated Google Analytics 4 and GTM containers with Tags, Triggers and Variables to improve the visitor experience on this website.
Technologies: GTM, Google Analytics 4, JavaScript
mynextmovie.ca (2021)
Built a full-stack Movie Recommendation Engine app based on publicly available IMDb movie ratings dataset.
- Used the Item-to-item Collaborative Filtering Approach
- Built the Backend API using Flask
- Deployed a microservice architecture on AWS ECS
- Built the Frontend using Vue.js
Technologies: Python, Docker, AWS ECS, ECR, ELB, Route 53

Renovation Assistant - an AI App (2019)
Built an end-to-end ML product which recommends personalized house renovations and predicts associated energy savings for homeowners across North America in real-time.
- Researched and implemented state-of-the-art ML techniques
- Performed extensive data preprocessing and feature engineering
- Deployed models into production on AWS through an MLOps framework
3D Blood Vessel Growth Simulator (2017)
As part of my Master's Thesis, I developed a custom simulator using open-source computational biology tools to help researchers design microfluidic devices and optimize the cell-culture experiment conditions.
Technologies: Python, Docker, Microvessel Chaste Software
