PreVetted Podcast
Sayan Bhattacharya is Head of Engineering at LINK and the creator of LinkToAny.com, a platform that helps businesses migrate from legacy systems to the cloud and connect their critical tools. With a decade of experience building full-stack systems across retail, supply chain, and marketplace platforms, Sayan specializes in solving the complex challenges of data migration and system integration. In this episode, we explore how businesses can overcome the fear of modernization, what makes integrations truly reliable, and the patterns that emerge when building systems that scale. Sayan shares insights on leading small, globally distributed engineering teams and how AI is transforming integration infrastructure. We discuss the hardest technical problems in building connective tissue for business operations, what founders need to understand about scalable systems, and practical advice for engineering leaders balancing hands-on coding with team leadership. Whether you're grappling with fragmented operations or building the next generation of business platforms, this conversation offers valuable lessons on making technology invisible, indispensable, and inevitable. About Sayan Bhattacharya 🚀👨💻🌐 🔧 Head of Engineering at LINK | 🛠 Builder of LinkToAny.com | 🔗 Connecting business systems and enabling cloud migration - 💼 https://www.linkedin.com/in/tinnker14/ - 🌐 https://linktoany.com/ About Federico Ramallo ✨👨💻🌎 🚀 Software Engineering Manager | 🛠 Founder of DensityLabs.io & PreVetted.ai | 🤝 Connecting 🇺🇸 U.S. teams with top nearshore 🌎 LATAM engineers - 💼 https://www.linkedin.com/in/framallo/ - 🌐 https://densitylabs.io - ✅ https://prevetted.ai 🎙 PreVetted Podcast 🎧📡 - 🎯 https://prevetted.ai/podcast - 🐦 https://x.com/PrevettedPod - 🔗 https://www.linkedin.com/company/prevetted-podcast 00:00 Introduction to Sayan Bhattacharya and LingQ 02:33 The Role of AI in Data Migration 05:13 Understanding Link to Any and Its Functionality 07:54 Challenges of Fragmented Operations 10:31 Approaching Large-Scale Data Migration 15:10 The Importance of Data Cataloging 17:33 Patterns Across Industries 21:06 Maintaining Quality with a Lean Team 30:15 Learning from Mistakes in Hiring 31:14 The Importance of Technical Know-How 33:30 Managing Distributed Teams Effectively 37:56 AI in Hiring: Pros and Cons 40:49 Leveraging AI Tools in Engineering Teams 43:56 Advice for Aspiring Engineering Leaders
146 episoder
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