Focused on data engineering innovation, this 2-day conference will give attendees direct access to top engineers & innovators from leading tech companies who will talk about the software deployment architecture of ML systems, how to produce the latest data frameworks, frameworks and solutions for business use cases.
Interested in speaking at Data Engineering Summit? Email us at info@analyticsindiamag.com
Aman Gupta
Co Founder and CMO at boAt Lifestyle
Marshall Goldsmith
Executive educator and coach
Srikanth Velamakanni
Co-founder and Executive Vice Chairman at Fractal
Elaina Shekhter
Chief Marketing and Strategy Officer at EPAM
Jaydeep Deshpande
Head of Enterprise Marketing - Google Cloud & Google Workspace
Pavan Nanjundaiah
Head, Tredence Studio at Tredence Inc
Prasenjit Ghosh
Vice President at Genpact
Amrish Kumar Jain
Chief Information Officer at Tally Solutions
Aseem Bansal
Software Engineer at Acryl Data
Parmjeet Virdi
Director Data Analytics at Publicis Sapient
Puneet Pandhi
Vice President at American Express
Manish Gupta
Partner - Data Engineering at Tiger Analytics
Rahul Prakash
Director – Sales & Distribution Analytics at AB INBEV
Prashant Rao
Head Application Engineering at Mathworks
Abhijit Naik
Managing Director, India co-lead for Wealth Management Technology at Morgan Stanley
Varun Prasad
Director of Engineering at SatSure
Arun Munuswamy
Assistant Vice President – Delivery Director at Genpact
Sachin Tripathi
Senior Data Engineer at Bureau
Ashwin Swarup Adurthi
Vice President - Data Science and Data Engineering at NimbleWork, Inc. (formerly Digité)
Hariharan Rajendran
Principal Architect, BI & Microsoft MVP in Data Platform at Tiger Analytics
Sudershan Srinivasan
Senior Director, Azure Big Data Engineering at Tiger Analytics
Vishal Nagpal
Data Science & Analytics Leader at Amazon
Ankur Pal
Chief Data Scientist at Aplazo
Aashima Kumar
Senior Manager Data Analytics at Publicis Sapient
Sachin Tripathi
Manager - AI Research at AIM
Giridharan Murugesan
Assistant Vice President – Data Engineering at Genpact
Vaibhav Kumar
Senior Director at The Association of Data Scientists
Jaya Murugan Muthu Manickam
Senior Architect at Adobe
Chiranjeev Singh Sabharwal
Senior Director at Axtria
Saikiran Thunuguntla
Principal Data Engineer at Intuit
Reshma Mote
Senior Associate, Data Engineering at MathCo
Sandeep Pradhan
Manager, Data Engineering at MathCo
Deepan Ignaatious
Senior Product Manager at DoubleCloud
Zaher Abdul Azeez
Director - Data Sciences & Engineering at NoBroker.com
Milind T Kasture
Divisional Manager (Data Engg., MLOPs & Robotic Process Automation) at Bajaj Auto
Praveen Singh
Director, Data Engineering at PayU
Suneet Taparia
Associate Director, Data Engineering, Data Science at MSD
Vamsi Kiran Badugu
Partner at MathCo
Sarita Priyadarshini
Senior Sales Engineer at Snowflake India
Santosh Hegde
Senior Director Of Engineering at Couchbase Inc
Ashish Singh
Senior Director Data Engineering at Idexcel
Pramod Rawat
Executive Director Generative AI/ ML, Data Analytics & Cloud Product Management at Wells Fargo
Mamta Jha
Vice President, Platform Engineering at Goldman Sachs
Padma Chitturi
Senior Engineering Manager (Data & ML Platform) at Indeed.com
Murugan Chidhambaram
Head of Digital Transformation at Aquaconnect
Phani Kumar Yadavilli
Founder & CTO at People Tech Ventures
Nitin Shekhar Prasad
Head of Global Engineering at Ellipse Data
Vishal Singh
Platforms & Products | Head of Engineering - Data at slice
Ankur Garg
Manager Data Science Insights at Booking Holdings
Sucharita Chatterjee
Senior Engineering Leader Data Engineering at Booking Holding
Rohit Agarwal
Chief Data Officer (CDO) at Bizom
Raghavendra Prasad Munikrishna
Vice president, Data Engineering at J.P. Morgan
Key Topics
Future of LLMops: Deployment and Scaling
Engineering Practices for Data Resilience
Building Resilient Data Pipelines
Real-time Streaming for Enterprise Data Lakes
Conceptualizing Data as a Product
Real-time Dashboards and Unified Databases on Cloud
The Emergence of Data Mesh Architecture
Real-Time Data Processing with Apache Kafka
From Data Chaos to Organized Value Generation
Architecting Data Pipelines for Generative AI Models
Generative AI’s Role in Data Engineering
Designing Real-time Data Stream Processing Architectures
Data Modeling and Schema Design for Business Efficiency
Ensuring Data Trust and Quality in Modern Data Stacks
The Value of Operations Data
Modernizing the Data Access Layer
Monetizing Data at Scale
Evolving ETL Practices for Modern Data Integration
Operationalizing Foundational Models
Optimizing Big Data with Probabilistic Data Structures
The Importance of a Data Semantic Layer
Data Fabric vs. Data Mesh for Future-Proofed Platforms
Building Efficient Data Lakes and Warehouses
Leveraging DataOps for Effective Data Management
Transitioning to Real-Time Data with Streaming Pipelines
Managing Data Noise and Subjectivity
Register for DES 2024
Recommended
Early Bird Passes
Available till 14 Mar, 2025
All access, 2 day passes
Group Discount available
₹6999
Regular Pass
Available from 15 Mar till 2nd May 2025
All access, 2 day passes
Group Discount available
₹12999
Late Pass
Available from 3 May 2025 onwards
All access, 2 day passes
No Group Discount available
Limited passes available
₹19999
What to expect?
Get ready for the 3rd Edition of the Data Engineering Summit in 2024, a not-to-be-missed event spanning two action-packed days, featuring two distinct tracks designed to cater to a wide array of interests and expertise in the field of data engineering. This summit promises to be an immersive experience, combining enlightening keynote speeches, interactive workshops, and in-depth panel discussions led by renowned industry leaders and innovators.
Alongside the learning tracks, attendees will have the unique opportunity to explore exhibitions showcasing the latest technologies, tools, and services in data engineering.
Topics covered
The Data Engineering Summit will feature a range of presentations, panel discussions, and workshops. Our speakers at the Data Engineering Summit 2024 will cover a wide array of vital topics, including the complexities of big data architectures and the best practices for managing streaming data pipelines.
Topics to be explored encompass the entire lifecycle of data pipelines, the journey of data models from experimentation to production, the integration and utility of data fabric, and the critical aspects of Data Provenance & Governance.
Data Engineering Awards
The Data Engineering Awards celebrates teams that are pushing the boundaries of data-driven work to develop cutting-edge solutions. Each year, the awards recognize outstanding achievements in analytics and AI, recognizing teams that have produced exceptional results through their innovative and creative use of data.
Last week, I got a chance to attend and speak at one of India’s prominent conferences dedicated to Data Engineering - Data Engineering Summit 2023 by #AnalyticsIndiaMagazine #des2023 Key take away - 'You don't want your Data teams to be plumbing for water if they can do mining for Gold'
Yashwanth Kumar
Fivetran
Had a great time delivering the opening address at #des2023. The audience of data engineering specialists from across the industry engaged by sharing their experiences.
Sunil K.
Genpact
I had an awesome experience at the Data Engineering Summit (#DES23) last week. Great to be meeting and learning alongside many exceptional leaders and engineers. I had the opportunity to explore various new tools and technologies related to #DataEngineering and how they can help scale up AI. Exciting times ahead!