Patrick

About me: I am a software and data engineering professional with over six years of experience building and maintaining large-scale distributed systems, Big Data platforms, microservices, and developer tools. My core expertise lies in backend and data engineering, with a strong command of Java and Python. I have extensive experience working with cloud-native open-source technologies such as Kubernetes, Docker, Kafka, and Terraform, as well as their equivalent managed services on platforms like AWS and Azure. As a data engineer, I specialize in both developing tools for other engineers and leveraging Big Data technologies such as Apache Spark, Kafka, Apache Iceberg, Airflow, and DBT to design scalable and robust data infrastructures. Beyond technical proficiency, I deeply understand data governance, security, and best practices that drive a mature and efficient data ecosystem. I am passionate about solving critical business problems through technology. Smart decision-making is at the heart of every successful organization, and such decisions rely on timely, accurate, and well-structured data. My work enables businesses to harness data effectively, transforming insights into actions at scale. Being a key part of this process excites me about working in the cloud and data engineering space.

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