🔭 I'm currently working on building data engineering projects: I'm all about pipelines, ETL workflows, and cloud-based architectures to sharpen my skills for data engineering roles.
🤝 I'm looking to collaborate on data pipeline and infrastructure projects, especially those involving finance or sports analytics. Open to exploring other domains too!
🤔 I'm looking for help with industry best practices and modern tooling for data engineering. I'm always eager to learn what frameworks and patterns are used in production environments.
🌱 I'm currently learning AWS, Databricks, PySpark, and Data Structures & Algorithms. This term at McGill I'm diving deep into Text Analytics (NLP & LLMs), Enterprise ML in Production (MLOps), AI/Deep Learning and Data Visualization with Power BI.
💬 Ask me about cloud computing, the data engineering landscape, financial analysis, the tech scene in Canada/Montreal, or recent advances in ML/AI.
⚡ Fun fact: I DJ house music, and I'm learning analog photography with 35mm film cameras.
