Vincent F.

🚀 𝙏𝙪𝙧𝙣 𝙨𝙘𝙖𝙩𝙩𝙚𝙧𝙚𝙙 𝙙𝙖𝙩𝙖 𝙞𝙣𝙩𝙤 𝙧𝙚𝙡𝙞𝙖𝙗𝙡𝙚 𝙙𝙖𝙩𝙖𝙨𝙚𝙩𝙨 𝙖𝙣𝙙 𝙥𝙧𝙖𝙘𝙩𝙞𝙘𝙖𝙡 𝘼𝙄 𝙨𝙤𝙡𝙪𝙩𝙞𝙤𝙣𝙨. I help businesses automate data workflows on 𝘼𝙒𝙎 and build 𝙜𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙫𝙚 𝘼𝙄 𝙖𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨 that make business information easier to access and use. My focus is on solving practical problems: reducing manual reporting, connecting data sources, and turning company knowledge into searchable answers. 🛠️ 𝙃𝙤𝙬 𝙄 𝙘𝙖𝙣 𝙝𝙚𝙡𝙥 • 𝘿𝙖𝙩𝙖 𝙋𝙞𝙥𝙚𝙡𝙞𝙣𝙚𝙨 & 𝙀𝙏𝙇/𝙀𝙇𝙏 — Extract, clean, transform, and load data from APIs, databases, and files using 𝙋𝙮𝙩𝙝𝙤𝙣 𝙖𝙣𝙙 𝙎𝙌𝙇 • 𝘼𝙒𝙎 𝘿𝙖𝙩𝙖 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧𝙞𝙣𝙜 — Build data workflows using 𝘼𝙢𝙖𝙯𝙤𝙣 𝙎3, 𝘼𝙒𝙎 𝙂𝙡𝙪𝙚, 𝘼𝙢𝙖𝙯𝙤𝙣 𝘼𝙩𝙝𝙚𝙣𝙖, 𝘼𝙢𝙖𝙯𝙤𝙣 𝙍𝙚𝙙𝙨𝙝𝙞𝙛𝙩, 𝙖𝙣𝙙 𝘼𝙒𝙎 𝙇𝙖𝙢𝙗𝙙𝙖. • 𝘿𝙖𝙩𝙖 𝙋𝙧𝙚𝙥𝙖𝙧𝙖𝙩𝙞𝙤𝙣 & 𝙌𝙪𝙖𝙡𝙞𝙩𝙮— Structure datasets, validate records, and prepare data for reporting, analytics, and AI applications. • 𝙂𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙫𝙚 𝘼𝙄 𝘼𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨 — Create document Q&A tools, knowledge assistants, and chatbots using 𝘼𝙢𝙖𝙯𝙤𝙣 𝘽𝙚𝙙𝙧𝙤𝙘𝙠 𝙖𝙣𝙙 𝙡𝙖𝙧𝙜𝙚 𝙡𝙖𝙣𝙜𝙪𝙖𝙜𝙚 𝙢𝙤𝙙𝙚𝙡𝙨. • 𝙍𝙚𝙩𝙧𝙞𝙚𝙫𝙖𝙡-𝘼𝙪𝙜𝙢𝙚𝙣𝙩𝙚𝙙 𝙂𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙤𝙣 (𝙍𝘼𝙂) — Connect AI applications to business documents and data, with source references that help users verify answers. 🛍️ 𝙀𝙘𝙤𝙢𝙢𝙚𝙧𝙘𝙚 𝙚𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚 𝙩𝙝𝙖𝙩 𝙖𝙙𝙙𝙨 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙘𝙤𝙣𝙩𝙚𝙭𝙩 My 𝙎𝙝𝙤𝙥𝙞𝙛𝙮 𝙗𝙖𝙘𝙠𝙜𝙧𝙤𝙪𝙣𝙙 gives me useful context for projects involving products, orders, customers, and store operations, especially for ecommerce businesses building their data and AI capabilities. 🤝 𝙒𝙝𝙖𝙩 𝙮𝙤𝙪 𝙘𝙖𝙣 𝙚𝙭𝙥𝙚𝙘𝙩 • Clear communication and practical project milestones • Solutions aligned with your business requirements • Documentation that supports maintenance and handover 📩 𝙇𝙚𝙩’𝙨 𝙙𝙞𝙨𝙘𝙪𝙨𝙨 𝙮𝙤𝙪𝙧 𝙥𝙧𝙤𝙟𝙚𝙘𝙩. Send me a brief description of your data sources, current workflow, and desired outcome. We can define a focused first milestone for your AWS data engineering or generative AI project.