Presents
WHAT WE WILL DISCUSS
Join us for an exclusive roundtable on the critical challenges of scaling data infrastructure in the rapidly growing SaaS and Fintech industries. As data demands rise, traditional SQL databases often struggle, leading to performance bottlenecks and escalating costs. Multi-tenancy offers cost efficiency but introduces complexities around resource allocation, performance monitoring, and data isolation—especially in the highly regulated Fintech sector.
This roundtable provides a unique opportunity to network with industry peers, discuss top-of-mind issues, and share best practices for implementing multi-tenant architectures. We’ll dive into how TiDB’s innovative approach addresses these challenges, offering effortless scaling, cost efficiency, and robust security. Learn how TiDB’s horizontal architecture, proactive monitoring, and disaster recovery features can future-proof your infrastructure while ensuring compliance and data protection.
AGENDA
18:30 – 18:45
Welcome
18:45 – 19:30
Roundtable Discussion
19:30 – 20:30
Dinner
20:30 – 20:50
Networking
20:50 – 21:00
Closing
SOLUTION EXPERTS
Ferdinan Dharma Putra
Digital Technology Group Head at MNC Bank
Ferdinan Dharma Putra is a dynamic leader at the forefront of digital transformation within the financial services sector. With a rich background spanning application development, DevSecOps, and solution architecture, Ferdinan brings a holistic understanding of the technology landscape.
With a proven track record in backend, mobile, and cloud-native technologies, Ferdinan excels at bridging the gap between technical excellence and strategic business goals. He is a thought leader in driving digital transformation within the financial services industry, with a focus on security, scalability, and user-centric design.
His experience in navigating the complexities of banking, payment gateways, and e-wallets positions him as a seasoned expert in delivering secure and scalable digital solutions.
Lalit Mangla
Head of AIML and Data Foundation – Partner Solution Architects (APJ) at AWS
Lalit leads the Artificial Intelligence and Machine Learning (AIML) and Data Foundation Specialist Solution Architects team in Asia Pacific and Japan (APJ). He collaborates with strategic partners to drive AWS AIML services adoption and supports key customer initiatives.
His role focuses on helping AWS partners build capabilities and scale their businesses effectively.
Ivan Chandra
Senior Solution Architect at PingCAP
Ivan Chandra is a seasoned technology leader with expertise in distributed databases and cloud-native infrastructure. Before joining TiDB, he held pivotal roles at industry giants like AWS and Oracle, where he architected innovative solutions for some of the world’s most recognizable brands.
His work has spanned mission-critical data platforms, high-performance computing, and large-scale cloud deployments, enabling businesses to achieve unprecedented reliability and efficiency.
Outside of work, he enjoys mentoring engineers, sharpening the saw on new technologies related to cloud, database and AI, and exploring advancements in distributed systems.
Arwinto P. Nugroho
Country Sales Director at PingCAP Indonesia
Arwinto P. Nugroho is the Country Sales Director for PingCAP Indonesia, leading the company’s growth and adoption in the region. With over 20 years of experience in enterprise technology sales, he has a proven track record of driving business expansion and building strategic partnerships.
Before joining PingCAP, Arwinto held key leadership roles at Microsoft, Oracle, IBM, Dell, Nokia Siemens Networks and Hewlett-Packard where he managed high-value enterprise accounts and played a pivotal role in digital transformation initiatives across industries. His expertise in sales leadership, change management and cloud solutions has helped organizations navigate complex technology landscapes and achieve sustainable growth.
A results-driven leader, Arwinto is passionate about helping large enterprises in Indonesia grow their businesses by cutting-edge database technology with performance, scalability and analytics capabilities.
