As an accomplished Data Engineer with a passion for cutting-edge technology, I offer executive consulting services to companies seeking to harness the power of big data, machine learning, and AI for data-driven decision-making and innovation. With a strong background in backend development, API design, automation, and observability, I am dedicated to designing and implementing scalable data pipelines that drive enhanced business growth.

My expertise includes a comprehensive range of technical skills, spanning programming languages such as JavaScript, Python, Golang, Java, Kotlin, and more. I am well-versed in a variety of web frameworks, databases, data engineering tools like Apache Kafka, Apache Spark/Databricks, TensorFlow, and OpenCV. Moreover, I have a deep understanding of cloud platforms like Google Cloud, AWS, and Azure.

Education-wise, I hold a Bachelor of Science in Information Technology from the University of Massachusetts, Lowell, along with a Self-Driving Car Nanodegree from Udacity, where I gained proficiency in deep learning, computer vision, and vehicle kinematics.

My professional experience includes roles as a Data Engineer and Software Engineer at Verizon, where I collaborated with cross-functional teams to design and implement robust data pipelines, developed custom API monitoring systems, and ensured end-to-end observability in distributed microservices.

Furthermore, I have a solid background as a Unix System Administrator, responsible for supporting and monitoring infrastructure, installing and upgrading firmware and patches, and handling networking tasks in Linux and Solaris environments.

With my broad skill set, practical experience, and unwavering commitment to excellence, I am well-equipped to guide companies in leveraging big data, machine learning, and AI for transformative business solutions.