DATA, WHO?

Abhishek is Data Practice leader India, managing multiple Data teams at Snowflake. With 17+ years of experience in the field of Data and strategising for and from legacy systems to a niche in the niche Data Cloud ecosystem.Abhishek has experience of building and managing Global Data teams, enabling organizations to have data-Driven Culture. Abhishek has led Data platform and transformation teams for various product based organizations.Currently he is enabling Data Cloud and cross Snowflake’s maneging best in class Data team and AI-ML technology to solve enterprise problems.

As an accomplished Engineering Manager, Atul brings over around two decades of expertise in spearheading application development utilizing modern cloud architectures. Atul’s proficiency extends to designing robust enterprise architectures, optimizing data management strategies, and leveraging the potential of data, cloud, and marketplaces. Atul has pioneered the implementation of microservice architectures and facilitated the adoption of micro frontends, enhancing agility and modularity within complex enterprise systems. Atul has led diverse teams in crafting cutting-edge applications, ensuring scalability, and high performance while adhering to industry best practices.

Kadambari is a Senior Data Engineer at Snowflake with experience in the data and cloud ecosystem. She is passionate about building scalable data platforms that bring together engineering and AI to solve real-world business problems. Kadambari has hands-on experience designing agentic AI systems, AI-assisted workflows, and intelligent data pipelines that turn raw data into actionable insights. She has led cloud-native platform builds, helping organizations modernize legacy systems and embrace AI-driven decision-making. Kadambari believes that the future of data lies at the intersection of smart architecture and applied AI, enabling teams to move faster and decide smarter.

Roshni Mishra is a Senior Data Engineer currently employed at Snowflake, a leading cloud data platform company. With over 8 years of experience in the IT industry, she specializes in data modeling, ETL/ELT processes, big data analytics, and managing cloud-based data solutions. She is adept at delivering robust solutions for data-driven applications.

Ravina leads the Finance Analytics team at Snowflake’s Pune office, driving the vision of making Finance and Accounting AI-first functions and defining the future of work through agentic AI.
With over six years of experience in data engineering and business intelligence, she specializes in building end-to-end BI and AI solutions on Snowflake’s AI Data Cloud.
Ravina partners closely with Finance and Accounting teams at Snowflake to augment manual workflows with AI-driven intelligence, enhance close processes, improve reporting accuracy, and automate decision-making. She is passionate about the “Snow-on-Snow” vision, leveraging Snowflake’s own platform to reimagine how modern Finance teams operate in an agentic enterprise.

Vivek leads high-performing engineering teams with 10+ years of experience delivering robust, scalable solutions across finance, payments, card management, and the automotive industry. He builds AI-first enterprise systems leveraging LLMs, intelligent automation, and modern architectures like microservices and micro frontends to drive measurable business impact. Known for bridging technical excellence with strategic execution, he consistently guides teams to build innovative solutions that meet business needs and exceed technical standards.

Satvik is a Senior Software Engineer at Snowflake, architecting the company’s core financial automation systems. He has delivered critical components of Snowflake’s internal Finance stack leveraging cutting-edge platform capabilities. Satvik has pioneered MCP server implementations while building robust data pipelines for seamless financial data flow. He has developed innovative agentic solutions including Cortex Agent integrations for automated pricing workflows and MCP-based tools for intelligent data processing across financial systems. Known for combining deep technical expertise in Spring Boot and Snowflake-native development with strong business acumen, he consistently delivers production-grade systems powering Snowflake’s revenue operations.

Meet is a full-stack software engineer with 4 years of experience at Snowflake, building AI-first enterprise applications within the ET – Application Development organization. He has delivered key modules of Snowflake’s internal Finance automation system — including T&E accounting, Global Payroll Clearing, and InvoiceIQ — leveraging Cortex Agents, LangGraph, and Snowpark Container Services. Meet has also built AI-powered custom applications for the Sales Engineering team. Known for bridging technical depth with business execution, he consistently delivers scalable, production-grade systems on Snowflake’s AI platform.

Ritika Sharma is a Data Engineer at Snowflake with over four years of experience working on data platforms that support business operations. She focuses on building reliable and easy-to-use data systems, partnering closely with different teams to understand their needs and deliver practical solutions. Her work spans areas such as compliance, finance, and workplace data, helping turn complex information into business actionable insights. Ritika enjoys solving real-world problems with data and believes in keeping things simple, clear, and dependable.
She is passionate about solving practical problems with simple, effective approaches and enjoys being part of Snowflake’s “Snow-on-Snow” journey to build and improve systems using its own platform.

Rahul is a data and analytics professional at Snowflake, focused on building AI-driven solutions for Finance. He specializes in developing scalable data platforms, unified data models, and self-service analytics for global stakeholders. At Snowflake, Rahul has been instrumental in designing an AI-powered Travel & Expense (T&E) application and agentic framework that enhances policy compliance, automates workflows, and delivers real-time insights. Leveraging Snowflake’s AI Data Cloud, he integrates semantic layers and intelligent query capabilities to simplify decision-making. Rahul is passionate about bridging business and data, driving automation, and shaping the future of AI-first Finance operations.