Data Engineering Boston

Imagine typing, “Find customers who bought home décor in the last 90 days, but not the last 30” and having your campaign audience built, verified, and ready to launch in seconds.
Join us to explore how Generative AI is transforming enterprise email marketing from a slow, analyst-dependent process into a seamless, conversational workflow. We’ll walk through a complete "prompt-to-campaign" architecture that bridges the gap between marketing intent and complex data structures.
What we'll cover:

• Chat-to-Query: How Amazon Bedrock translates plain-English prompts into secure, accurate audience-selection logic against Redshift.
• Built-in Guardrails: Implementing automated checks for data quality, privacy controls, and deduplication.
• Seamless Activation: Moving from human approval directly to personalized campaign execution in Salesforce Marketing Cloud (SFMC).

Learn how to build an AI-driven workflow that radically accelerates audience creation without sacrificing enterprise governance or explainability.

Speakers

Soumyajit Mukherjee is a Senior Manager of Data & Analytics Engineering at Shutterfly, where he leads the development of large-scale data, analytics, and AI-driven platforms. His work spans Generative AI, cloud data engineering, intelligent search, customer analytics, and marketing technology, with a focus on turning complex data into scalable solutions that drive business impact.

Pritesh Gehlot is a Senior Architect at Staples, where he leads data architecture, engineering, AI-readiness, and enterprise data modernization initiatives. He brings extensive experience across Staples, Wayfair, Honeywell, Johnson & Johnson, and Cognizant, with a focus on building scalable data platforms, data governance, analytics, and AI/ML solutions that drive measurable business outcomes.