Danylo Dudok

I am a driven Azure and Databricks consultant with over seven years of experience designing, developing, and implementing end-to-end cloud data solutions that drive business transformation. I specialize in leveraging Databricks/PySpark alongside Azure’s robust ecosystem to build scalable Data Lake, Lakehouse, and Data Warehouse architectures. My comprehensive background covers the full project lifecycle—from strategic planning and architecture design to deployment and optimization—ensuring that all solutions adhere to industry best practices, reference architectures, and rigorous SDLC principles. With proven expertise in CI/CD pipelines and Infrastructure as Code (Terraform), I deliver seamless automation and reliable cloud deployments tailored to meet modern business needs. In addition to my data engineering expertise, I possess full-stack development proficiency in .NET and Python, enabling me to create robust, fault-tolerant systems that integrate seamlessly with enterprise environments. I am committed to writing clean, maintainable code and continually refining processes based on actionable feedback. Combining technical acumen with strong organizational, communication, and analytical skills, I excel at leading both technical and cross-functional teams. I partner closely with clients to translate business challenges into strategic, data-driven solutions that yield measurable results. Whether advising on cloud strategy or architecting complex data systems, I am dedicated to delivering transformative outcomes for every engagement.