About Me Hi! 👋 I’m a Data Engineer passionate about building high-throughput, cost-efficient, and self-healing data architectures that scale. Currently engineering solutions at Digit88, I previously worked at Optum (a Fortune 500 healthcare technology leader), where I helped engineer solutions for their massive Universal Data Warehouse (UDW) platform. I specialize in designing data platforms that solve messy, real-world data problems—focusing on long-term maintainability, system design at scale, and cost optimization. My work has involved reporting directly to Directors of Data Engineering to ideate core platform strategy and modern data architectures. 💡 What We Can Chat About Whether you're looking for career guidance or technical deep dives, I’m happy to help with: Data Engineering & Architecture: Spark Structured Streaming, Kafka optimizations, Delta Lake, and building scalable cloud pipelines. Cloud Migrations: Best practices for moving legacy systems (like Teradata) to Databricks/Azure without operational downtime. ML & Automation in Data Ops: Integrating LLMs/ML models into engineering workflows to reduce operational toil. Career Development: Navigating data engineering roles, resume reviews, transition strategies, and interview prep. 👉 Book a session with me below—let’s solve some interesting data problems together!