I build data products, metric systems, and analytics foundations that help growing companies make clear, confident decisions without over-engineering. Most of my work sits at the intersection of data modeling, BI architecture, metric standardization, workflow optimization, and analytics product strategy.

I focus on real-world clarity: clean data pipelines, trustworthy dashboards, usable semantic layers, and business logic that teams actually understand. I love taking scattered systems and turning them into simple and reliable sources of truth. I regularly use AI tools to accelerate analysis, documentation, and exploration while keeping the underlying data logic explicit, auditable, and human-readable

• Business-friendly data models (Sales, Marketing, Product, Ops)
• Metric standardization + KPI dictionaries
• Semantic layers for BI tools (Sigma, Looker, Metabase, Mode)
• Data transformations using SQL, dbt-like patterns, and warehouse modeling
• Designing stable data schemas and definitions that scale

• Analytics foundations for startups (Snowflake, BigQuery, SQLite, Azure SQL)
• Data quality checks: freshness, anomalies, mismatches
• Lightweight pipelines and automations for reporting
• Improving trust in dashboards through validation + lineage clarity

• End-to-end funnel builds for Marketing + Sales
• Product analytics instrumentation + Mixpanel setup

• Executive KPI command centers
• Monthly insights and dashboard narratives
• Dashboard UX + self-serve analytics enablement
• Documentation hubs for metric and data knowledge

I’ve led data foundation work across complex teams spanning sales funnels, marketing pipelines, product analytics, and BI migrations.

I love working where data, product, and clarity meet: building trustworthy systems, simplifying complexity, aligning definitions, and designing insights that actually drive decisions.

My background spans analytics engineering, product management, data strategy, BI architecture, and metric governance. I also consult with nonprofits and early-stage teams who want to build clean analytics foundations without hiring full data teams.

I like contributing to: ✨ analytics product management ✨ data modeling & clarity systems ✨ BI architecture & semantic layers ✨ metrics that actually mean something ✨ operational analytics

If you're building a data foundation, redesigning metrics, or exploring data-driven insights, I’d love to connect.