Yerkebulan Yerkinuly

Data Engineer Intern

EPAM Systems

Software engineering and IT services company.

Built Spark and Databricks data pipelines on Azure, including Kafka streaming, ML workflows, and web scraping.

• Implemented a medallion architecture (bronze, silver, gold layers) in Databricks using Apache Spark for scalable data transformation and quality control. • Configured Azure services, integrating relational databases and real-time data stream flows into the pipeline infrastructure. • Built end-to-end machine learning pipelines in Databricks using MLlib, applying models to real-world datasets. • Developed a real-time data ingestion pipeline using Apache Kafka and visualized streaming metrics with Grafana.

Data Analysis Intern

Center for Digital Economy Development

Scraped and processed location data, increasing database capacity by 300% and preparing 1,000+ shop records for analysis.

• Used Tableau to represent the correlation between schools, supermarkets, and alcohol locations. • Implemented Selenium to scrape 2GIS and increase database capacity by 300%. • Filtered 1,000+ raw shop entries and converted them into JSON files using Pandas and Seaborn.

Bachelor, Mathematics

Nazarbayev University