#144 Sayan Bhattacharya on Building the Connective Tissue of Business Operations

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-podcast00:00 Introduction to Sayan Bhattacharya and LingQ02:33 The Role of AI in Data Migration05:13 Understanding Link to Any and Its Functionality07:54 Challenges of Fragmented Operations10:31 Approaching Large-Scale Data Migration15:10 The Importance of Data Cataloging17:33 Patterns Across Industries21:06 Maintaining Quality with a Lean Team30:15 Learning from Mistakes in Hiring31:14 The Importance of Technical Know-How33:30 Managing Distributed Teams Effectively37:56 AI in Hiring: Pros and Cons40:49 Leveraging AI Tools in Engineering Teams43:56 Advice for Aspiring Engineering Leaders