Conor Maynard

I’m a Computer Science & AI senior with hands-on training in software development, data engineering, and machine learning. I focus on building scalable applications and data pipelines that run reliably at production level, using tools and frameworks that support both batch and real-time workflows.

In my internships at National Telecommunication Institute (NTI), I implemented end-to-end Big Data pipelines with the Hadoop ecosystem and orchestrated real-time and batch processing using Spark, Flink, and Kafka—while working in Linux-based environments and NoSQL databases. I also completed a data analysis internship cleaning and analyzing 10,000+ marketing records and building interactive Power BI dashboards. Through an AI & Machine Learning trainee experience, I applied supervised and unsupervised learning and deep learning fundamentals with TensorFlow, and I bring that mindset into projects like a fault-tolerant real-time streaming pipeline and ETL processing for large nested JSON datasets.