Anusha
Dwivedula
Director of Product, Data and Analytics at Morningstar
"Driving Scalable and Trusted Data Operations at Morningstar with AWS Cloud Services"
"Driving Scalable and Trusted Data Operations at Morningstar with AWS Cloud Services"
Wed May 21 - 2:10 PM EDT/New York (See in local time)
Add to Calendar
05/21/2025 2:10 PM
05/21/2025 02:50 PM
America/New_York
#WTGC2025
"Driving Scalable and Trusted Data Operations at Morningstar with AWS Cloud Services"
#WTGC2025
"Driving Scalable and Trusted Data Operations at Morningstar with AWS Cloud Services"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"Driving Scalable and Trusted Data Operations at Morningstar with AWS Cloud Services"
"Driving Scalable and Trusted Data Operations at Morningstar with AWS Cloud Services"
Don’t miss out and join visionaries, innovators, and thought leaders from all over the world at the Women in Tech Global Conference.
Vote by Sharing
Unite 100 000 Women in Tech to Drive Change with Purpose and Impact.
Do you want to see this session? Help increase the sharing count and the session visibility. Sessions with +10 votes will be available to career ticket holders.
Please note that it might take some time until your share & vote is reflected.
Session: Driving Scalable and Trusted Data Operations at Morningstar with AWS Cloud Services
Morningstar, a company with a market capitalization of $11 billion, has been a cornerstone of the financial services industry for 40 years. Morningstar manages real-time global market data on 22.5 million assets across equities, indexes, futures, options, commodities, and more while providing coverage for over 800,000 investment offerings. As a leading investment research firm, Morningstar's mission to empower investor success relies heavily on its ability to analyze and act upon vast data.In this session, I will showcase how Morningstar's Data and Analytics group harnesses the power of AWS cloud technologies to deliver high-quality, scalable data products with unparalleled speed and precision. Attendees will gain a behind-the-scenes look at our implementation of AWS-powered data lake and lakehouse architectures, enabling robust data storage, efficient processing, and seamless global delivery. I will also delve into the innovative data quality frameworks and rigorous assurance processes that underpin Morningstar's reputation for accuracy and trustworthiness.
Additionally, I will share how Morningstar scales complex financial calculations using event-driven architectures to ensure reliability and consistency across its product ecosystem. By leveraging cutting-edge cloud automation and self-serve tools, Morningstar accelerates insight generation while adhering to the financial services industry's stringent regulatory and security demands.
Key Takeaways
- Practical strategies for building a self-serve data platform using AWS cloud technologies.
- Insights into implementing data mesh architecture to efficiently manage and scale data products.
- Proven methods for achieving rigorous data quality standards through integrated cloud frameworks.
- Techniques for leveraging AWS services, such as Lake Formation, to ensure data security in a regulated environment.
Bio
Anusha Dwivedula is a technologist with extensive experience leading global engineering and product teams. She currently serves as Director of Product for the Calculation Services vertical in the Data and Analytics group at Morningstar. Anusha played a pivotal role in Morningstar's migration to AWS cloud by spearheading the development of a centralized data platform that integrates a data lake, analytics platform, and a robust data quality framework. This transformative platform addressed Morningstar's critical challenges around data unification and utility, empowering analysts, researchers, and other stakeholders to uncover insights faster, scale operations efficiently, and tackle technological complexity—allowing them to focus on advancing investor success.Anusha holds an MBA from the University of Chicago Booth School of Business, where she concentrated on strategy, entrepreneurship, and finance. She is passionate about using innovative technologies to drive scalable solutions in the financial services industry and strongly advocates for building collaborative, high-performing teams.
