Data Engineering Summit
[WHEN]
Speakers from 2023 edition
DES is Organized by AIM
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.
1000+ Attendees
50+ Speakers
3rd Edition
India's first & only conference dedicated to the emerging field of Data Engineering.
2023 Speakers
Expect more than 50 Data engineering experts to speak at DES.
Interested in speaking at Data Engineering Summit? Email us at info@analyticsindiamag.com
Pavan Nanjundaiah
Head, Tredence Studio at Tredence Inc
Prasenjit Ghosh
Vice President at Genpact
Prakash Padukone
Former badminton player & Co-founders of Olympic Gold Quest
Ramanuj Vidyanta
Head of Machine Learning & AI Business Development at AWS
Bharat Belavadi
Senior Director & India Head for Advanced Analytics Office at Western Digital
Rakesh Puttaswamy
Solutions Architect at SingleStore
Jorawar Singh
Regional Head - Business Development at Artha Solutions
Rajiv Maskara
Director - Data Integration Specialist - India at Qlik
Divya Gupta
AI Product Director, AiDa, AI Labs – Global Decision Science at American Express
Gopan Vijayan Nair
Head, Enterprise Business at NVIDIA India
Sunil Krishnareddy
VP & Head of Data Engineering services at Genpact
Varun Modi
Co-Founder & CTO at Bright Money
Ram Chandra Dwivedi
Assistant Vice President at Genpact
Deepak Kumar
Sr. Director Data Engineering at Publicis Sapient
Kunal Mehta
Sr. Manager, Data CoE at Publicis Sapient
Sougata Dowari
Vice President at Genpact
Raghav Gupta
Co-Founder & CEO at Futurense Technologies
Anshuman Gupta
Chief Data Officer at Futurense Technologies
Soumendra Mohanty
Chief Strategy Officer at Tredence
Helen Mishra
Senior Manager, Tredence Studio
Changa Reddy B
Vice President, Data Engineering Practice at Tredence
Mousumi Kar
Senior Manager, Data Engineering at Tredence
Arunkumar Ponnurangam
Director, BDE Azure at Tiger Analytics
Sachin Narang
Director, Data Warehouse at Tiger Analytics
Muthu Govindarajan
Partner – Data Engineering at Tiger Analytics
Aniruddha Ray
Vice President - Analytics at Factspan
Susmita Chaudhury
Partner at Deloitte India
Rampradeep Pakalapati
Solution Engineer at Cloudera
Thirumalvalavan Venkatesan
Head of Data and Analytics Practice - India at EPAM Systems
Sivakumar Krishnasamy
VP Data Engineering at Yubi
Pradeep Reddy
Director of Engineering at Confluent
Akash Deep Verma
Director of Data Engineering at Delhivery
Baxish Mission
Director – Cloud and Data Engineering at InfoCepts
Samarth Gupta
VP Data Engineering & Analytics at Natwest
Pawan Vadulas
Head of Technology at TheMathCompany
Amit Kapur
Vice President, Data Science & Engineering at Lowe’s
Dmitry Ustalov
Head of Ecosystem Development at Toloka
Alok Sharma
Director Of Engineering at Meesho
Raghavendra Prasad Munikrishna
Vice president, Data Engineering at J.P. Morgan
Shounak Vijay
Sales Engineer APAC at Fivetran
Shadab Hussain
Senior Associate - MLOps at TheMathCompany
Yashwanth Kumar
Account Manager Enterprise Sales at Fivetran
Sudharsanam R
Director Business Consulting at InfoCepts
Hari Prasad Reddy
Director of Data Science at Zee Entertainment
Karthik Ramesh
Global Head of Innovation at Emids
Sathish Kumar Thiyagarajan
Chief Technology Officer at OurKadai Technologies
Deepak N Koushik
Director of Product Management - Data & ML Platform and Products at Myntra Jabong
Varun Saraogi
Associate Principal – Engineering at TheMathCompany
Rittika Jindal
Cloud Architect at Thomson Reuters
Sudarshan Pakrashi
Director, Data Engineering at Zeotap
Vivek Sahabadi
Head of Data Analytics at Navi
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
Early Bird Passes
Expired- All access, 2 day passes
- Group Discount available
Regular Pass
Available till 10th May 2024- All access, 2 day passes
- Group Discount available
Recommended
Late Pass
Available from 10 May 2024 onwards- All access, 2 day passes
- No Group Discount available
- Limited passes available
- ₹20000
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 2024
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!
Dipanjan Deb
Wells Fargo
