Modern Data Architectures & Engineering

Building a reliable and scalable data ecosystem requires the right architecture. This track focuses on best practices for managing data pipelines, real-time processing, observability, and infrastructure that supports cost-effective, governance-ready systems.

About this Track

Building a reliable and scalable data ecosystem requires the right architecture. This track focuses on best practices for managing data pipelines, real-time processing, observability, and infrastructure that supports cost-effective, governance-ready systems.

Meet our Speakers

We've gathered some of the top experts in the field to discuss this topic. With years of experience between them, they're well-equipped to offer invaluable insights and perspectives.

Aakriti Kaul

Aakriti Kaul

Data Scientist, Cisco - Duo Security

Adelaine Gelain

Adelaine Gelain

Analytics Engineer, Tractive

Ankush Ramprakash Gautam

Ankush Ramprakash Gautam

Senior Manager, Engineering, Datastax

Anthony Rotio

Anthony Rotio

Chief Data Strategy Officer, GrowthLoop

Augusto Rosa

Augusto Rosa

Head of Data, Cloud & Security Architecture, Archetype Consulting

Chin Hwee Ong

Chin Hwee Ong

Senior Data Engineer, Grab

Colton Padden

Colton Padden

Data Engineer & Developer Advocate, Dagster Labs

Eddy Zulkifly

Eddy Zulkifly

Senior Staff Data Engineer, Kinaxis

Sushant Mishra

Sushant Mishra

FinOps Lead, Kinaxis

Zuhayr Shaikh

Zuhayr Shaikh

Cloud Engineer, Data & Analytics, Kinaxis

Daneyal Siddiqui

Daneyal Siddiqui

Data & Analytics Team Lead, Kinaxis

Katie Hindson

Katie Hindson

Head of Product & Data, Lightdash

Kevin Wang

Kevin Wang

Founding Engineer, Eventual Computing

ChanChan Mao

ChanChan Mao

Developer Relations, Eventual Computing

Mariah Rogers

Mariah Rogers

Senior Analytics Engineer, Arcadia

Matt Weingarten

Matt Weingarten

Data Engineer, Samsara

Samantha Lohier

Samantha Lohier

Senior Lead Analytics Engineer, Data Culture

Michael Ferguson

Michael Ferguson

Data Security Services Architect, Cyera

Talks

Enabling high scale Redshift Data Warehouse via dbt

05 May 2025, 04:00 PM
Adelaine Gelain

Abstractions: Enabling data teams through reduced complexity

05 May 2025, 08:30 PM
Colton Padden

Data processing for AI: Building Daft for blazing fast I/O on structured & unstructured data

05 May 2025, 09:00 PM
Kevin Wang ChanChan Mao

Data quality simplified

06 May 2025, 03:00 PM
Matt Weingarten

Data meets FinOps: Leveraging analytics to optimize cloud costs

06 May 2025, 04:00 PM
Eddy Zulkifly Sushant Mishra Zuhayr Shaikh Daneyal Siddiqui

Optimizing data storage for AI, generative AI, and machine learning: challenges, architectures, and future direction

06 May 2025, 05:30 PM
Ankush Ramprakash Gautam

The data security problem

06 May 2025, 08:00 PM
Michael Ferguson

Uniting data and AI to drive compounding marketing success

06 May 2025, 09:30 PM
Anthony Rotio

What I wish I knew before migrating to Snowflake: Lessons from a large-scale data warehouse transition

07 May 2025, 05:00 PM
Augusto Rosa

Semantic Layers: The next data revolution? Or just overrated hype?

07 May 2025, 07:30 PM
Katie Hindson

From Redshift to Snowflake: A migration blueprint for data leaders

08 May 2025, 04:00 PM
Samantha Lohier

From manual to magical: Smarter warehouse organization with dbt macro overrides

08 May 2025, 06:00 PM
Mariah Rogers

Your data is late again! Handling late-arriving data in the modern data stack

09 May 2025, 04:00 PM
Chin Hwee Ong

Context is king: Merging dbt expertise with product domain knowledge

09 May 2025, 05:30 PM
Aakriti Kaul

Secoda

The unified data governance platform

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