👨‍💻 Senior Data Engineer @ Oportun · Databricks Mentor I help students, engineers, and teams build fast, reliable, governed lakehouse pipelines on Databricks (⚙️ Spark/PySpark, 🧱 DLT, 🧭 Unity Catalog, ☁️ AWS/Azure, 🔄 Kafka/Debezium, 🛠️ Terraform). Sessions are code-first: 🤝 we pair on your repo/SQL/Jobs, ⚡ fix bottlenecks, 🔐 enforce permissions & lineage, and 🧪 stand up DQ frameworks + 📈 observability you can ship to production. 🔧 What I can help with 🧩 Pipeline design (batch/streaming) & job orchestration 🧱 DLT, 🧭 Unity Catalog, access patterns & governance ⚡ Performance & 💸 cost tuning; ☁️ serverless/cluster choices 🛡️ Data Quality (DQF) strategy + 🔔 alerts & 📊 dashboards 🧭 Career roadmap, 🎯 project selection, 📄 resume/portfolio reviews 📌 Proof ⏱️ Cut pipeline runtimes by ~60% 🧪 Running 450+ table checks/day in production 🎁 What you’ll leave with 🗺️ Tailored action plan for your stack 🧰 Reusable templates, checklists, and examples 🚀 Clear next steps for the next 1–4 weeks If you want pragmatic, production-grade help—not theory—book a session and let’s build. 🔥