philliant is where i share practical lessons from building real data products and systems in public.
i am a senior data engineer at mckinsey & company with 12+ years of experience across data engineering, analytics engineering, and decision support. i translate complex business needs into reliable, production-ready data solutions that teams can trust.
across consulting, healthcare, marketing, education, and regulated environments, i have delivered high-impact reporting and analytics capabilities that help leaders make better decisions faster. my background in applied mathematics strengthens how i design data models, solve problems, and balance precision with practicality.
i bring a builder’s mindset to every project: technical depth, clear communication, and a strong commitment to continuous improvement, teaching, and mentorship.
on this site, i share:
- project reflections
- practical guides
- technical notes
- lessons learned through years of experience (and struggle before ai)
my goal is simple: publish useful, honest, and actionable work for other builders.