I’ve built data pipelines, ETL jobs, and analytics tooling across both enterprise and startup environments. At Deloitte, I worked on cloud strategy and data infrastructure projects, and I’ve also helped startups and small businesses stand up ETL workflows, automate reporting, and build custom tools to make their data usable. My technical work spans clustering, NLP, LLM API-driven analysis, cloud architecture, and data storage systems, with additional training in discrete math and algorithms. I also bring a broader strategic lens than most technical coaches. I’ve worked with Palantir as a client and have done extensive analysis across the data infrastructure landscape, including companies like Snowflake and Datadog and transactions involving businesses like Scale AI. That lets me help clients at both levels: the granular technical detail of how data and AI systems actually work, and the higher-level strategic understanding of why these systems matter and how to communicate that value. Whether you’re trying to break into data and AI, sharpen your technical foundation, or better position your experience, I can help.