Naomi Truong

[𝐀𝐦𝐛𝐢𝐭𝐢𝐨𝐮𝐬] [𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫] aka Data nerd here ! Working with 4 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 dedicated to extracting valuable insights from complex datasets. I help companies design and operate scalable, resilient 𝐄𝐓𝐋 / 𝐄𝐋𝐓 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, optimize 𝐜𝐥𝐨𝐮𝐝 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 costs, and transform raw data into high-impact, business-critical analytics data marts. Leveraging a strong background in database engineering, I specialize in building robust data architectures across 𝐆𝐂𝐏 and cloud ecosystems. My core technical toolkit includes advanced 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐀𝐩𝐚𝐜𝐡𝐞 𝐒𝐩𝐚𝐫𝐤 (𝐏𝐲𝐒𝐩𝐚𝐫𝐤), 𝐀𝐩𝐚𝐜𝐡𝐞 𝐀𝐢𝐫𝐟𝐥𝐨𝐰, 𝐝𝐛𝐭, and real-time streaming architectures using 𝐀𝐩𝐚𝐜𝐡𝐞 𝐊𝐚𝐟𝐤𝐚 and 𝐂𝐃𝐂 (𝐂𝐡𝐚𝐧𝐠𝐞 𝐃𝐚𝐭𝐚 𝐂𝐚𝐩𝐭𝐮𝐫𝐞) ecosystems. Driven by an 𝐨𝐰𝐧𝐞𝐫𝐬𝐡𝐢𝐩 𝐦𝐢𝐧𝐝𝐬𝐞𝐭, I thrive in fast-paced, cross-functional environments where data acts as a product. I am eager to collaborate with global tech teams on heavy-data scaling challenges. 𝐋𝐞𝐭'𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐨𝐫 𝐫𝐞𝐚𝐜𝐡 𝐨𝐮𝐭 𝐝𝐢𝐫𝐞𝐜𝐭𝐥𝐲 by naomitruong301@gmail.com Key impact highlights from my career include: Core Data Migration: Stabilized operations during a massive migration from MongoDB to PostgreSQL. 📈 Marketing & Attribution: Led a cross-country GA4 Enhancement. Optimized channel tracking and consolidated properties, minimizing unassigned traffic to deliver highly accurate attribution quality. ⚡ Distributed Big Data: Designed end-to-end distributed pipelines to ingest and process large-scale workloads from Google BigQuery to GCS, significantly cutting infrastructure costs. 🧠 Advanced Data Modeling: Proficient in designing scalable data warehouses using Dimensional Modeling, Star Schema, Snowflake Schema, and 3NF principles to enable clean self-service analytics.