I am Yeshwanth Konka, a data engineer focused on building scalable ML and data pipelines. In my current Co-op at ICBC in Vancouver, I design data governance pipelines using Hadoop, Spark, and Hive and work with cloud streaming tools like Kinesis and Kafka to enable real-time analytics. My work has reduced latency by up to 90%, doubled data ingestion throughput, and automated analyst workflows with ML-driven threat intelligence. I am pursuing a Master of Engineering in Applied Data Science at the University of Victoria, after earning a B.Tech in Computer Science and Engineering from Lovely Professional University. My experience spans backend systems, CI/CD for ML and data libraries, real-time streaming, and threat-intelligence tooling. I enjoy turning data into reliable, scalable solutions and collaborating with cross-functional teams to accelerate deployments and onboarding.…I am Yeshwanth Konka, a data engineer focused on building scalable ML and data pipelines. In my current Co-op at ICBC in Vancouver, I design data governance pipelines using Hadoop, Spark, and Hive and work with cloud streaming tools like Kinesis and Kafka to enable real-time analytics. My work has reduced latency by up to 90%, doubled data ingestion throughput, and automated analyst workflows with ML-driven threat intelligence. I am pursuing a Master of Engineering in Applied Data Science at the University of Victoria, after earning a B.Tech in Computer Science and Engineering from Lovely Professional University. My experience spans backend systems, CI/CD for ML and data libraries, real-time streaming, and threat-intelligence tooling. I enjoy turning data into reliable, scalable solutions and collaborating with cross-functional teams to accelerate deployments and onboarding.WWWW…