Recent Computer Science graduate from York University with strong interests in data engineering, data science, and applied machine learning. I enjoy working at the intersection of data, systems, and real-world impact, from building scalable ETL pipelines and lakehouse architectures to engineering reliable backend systems.
I have hands-on experience in data engineering, distributed data processing, and backend systems, including SQL/T-SQL data warehousing, Databricks Medallion lakehouse pipelines on AWS, distributed PySpark pipelines, and microservices-based backend architectures. I'm especially interested in roles where I can combine analytical thinking, clean data pipeline design, and measurable performance improvements.
Outside of academics, I value discipline and consistency, whether through fitness, long-term projects, or collaborative engineering work, and I'm actively seeking opportunities to grow as a data-focused software engineer or data engineer.
Languages Python Java C++ JavaScript SQL
Data Engineering Apache Spark Databricks AWS Kafka Google Cloud Microsoft SQL Server
Frameworks & Libraries Spring Boot React Pandas NumPy Scikit-learn NetworkX
Systems & Tools Postgres MongoDB Docker Kubernetes gRPC Git GitHub GitHub Actions Swagger Linux