Accelerating Data Migration to Cloud Platforms: Ensuring Quality, Scalability, and Governance at Scale

Executive Council

January 30, 2025 - National

Visionaries

Shadaab Kanwal Charles Schwab
Shadaab Kanwal

MD - Digital, Data, and Analytics

Charles Schwab

Council Speaker

SHADAAB KANWAL serves as MD Digital, Data, and Analytics at Charles Schwab, executing digital technology, data, AI, and advanced analytics strategies. NYSE:SCHW is a global investment and wealth management firm with >$8.5T(AUM) in client assets, 33M+ brokerage accounts, and a full range of banking and financial advisory services. As a transformational, strategically adaptable, and value driven leader. ★ Adept at creating vision to value, linking strategy to execution, and agile change management. ★ Executed >$300M+ mega programs of technology-led, business agility, and hyper-automation, with global teams of >300+ for Kaiser Permanente, UCLA Health, OhioHealth, MAYO Clinic, and UnitedHealth Group. ★ Passionate about team empowerment and carving innovative business capabilities, with customer360 design thinking, analytics engineering, and knowledge management.

Yael Gomez Walgreens
Yael Gomez

Fractional CIO/CTO Former VP, Global IT Integration

Walgreens

Council Speaker

Yaël Gomez is a fractional CIO/CTO and former Vice President, Global IT, Integration & Intelligent Automation at Walgreens Boots Alliance. As an accomplished technology executive, technologist, and strategic business partner across large-scale enterprise organizations, Yaël has proven expertise in successfully developing technology delivery centers, delivering complex technology strategies and transformations generating business growth. He is skilled at driving global strategies whilst meeting business specific local requirements, with the goal of enabling business innovation, agility and performance with the right technologies. Yael finds his energy at the intersection of people, business and technology, and taps into 25 years of experience in small and large organizations such as Walgreens, in aligning business and technology, and in bringing clarity to complex problems to drive growth, operational excellence and product/service leadership for the businesses he serves.

Sachin Narang Tiger Analytics
Sachin Narang

Senior Director - Data Warehouse

Tiger Analytics

Council Speaker

Senior Director at Tiger Analytics with over two decades of expertise in solution design, data engineering, and leading digital transformation initiatives for large enterprises. Specializes in cloud modernization, Snowflake, big data ecosystems, and data virtualization, delivering innovative and scalable data solutions to drive business impact.

Subramanian Thangavel Tiger Analytics
Subramanian Thangavel

Principal Architect - Data Warehouse

Tiger Analytics

Council Speaker

Principal Data Architect at Tiger Analytics, leading the Snowflake COE to drive innovation through accelerators and scalable architectures. With extensive experience in data projects, specializes in delivering impactful solutions across ETL, Big Data, and data platforms using Snowflake.

Jonathan Regenstein Snowflake
Jonathan Regenstein

AI Principle for Financial Services

Snowflake

Council Speaker

Jonathan's career has spanned many roles with the goal of changing the world of financial services through data scinece, software and the cloud. He has spent time leading ML teams on the sell side and the buy side. Currently, he is leading the commercial GTM efforts for AI in financial services.

Sujay Mudalgi Pacific Life
Sujay Mudalgi

Director, Data Management and Architecture

Pacific Life

Council Speaker

Dynamic and results driven Senior Data Leader with over 20 years of experience in data management, including 12+ years in leadership roles.

January 30, 2025

Agenda

All times Eastern Time

3:00 PM-4:15 PM

Accelerating Data Migration to Cloud Platforms: Ensuring Quality, Scalability, and Governance at Scale

As organizations increasingly rely on data to drive decisions, many are migrating to cloud-based platforms like Snowflake to overcome the limitations of traditional data warehouses. This shift is driven by the need for greater scalability and agility, and migrating to the cloud requires a strategic approach. First, organizations must develop a clear strategy for adopting the cloud and optimizing their data platforms, ensuring a smooth transition. Modernizing data engineering practices is essential, including building scalable data pipelines and employing advanced data modeling techniques to support complex analytical needs. Additionally, integrating AI and analytics capabilities into the cloud infrastructure is key, enabling predictive modeling, machine learning, and real-time insights. Finally, robust data governance and security frameworks must be established to protect sensitive data, ensure quality, and meet regulatory compliance.


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