I’m a self-taught Data Engineer with experience in marketing and operations data pipelines. I build practical, trusted data solutions with Databricks, Spark, Airflow, SQL and cloud platforms.
About
My background in quality, compliance, Lean Six Sigma and data governance helps me bridge business needs and technical execution. I enjoy working closely with stakeholders, designing practical data solutions, and building pipelines that teams can actually trust.
Now
Selected Work
Built a data pipeline to collect and structure viral sandwich recipes from social platforms. Designed ingestion → transformation → analytics layers to extract ingredients, normalize recipes, and analyze popularity patterns. Focus: data modeling, pipeline reliability, and exploratory analytics.
An end-to-end event pipeline inspired by Braze/Salesforce-style data, from raw ingestion to curated analytics tables.
Analyzing bread recipes, hydration ratios and baking outcomes through structured recipe data.
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