31 August 2022

Data Engineering Summit

Accessible and usable data

📍Hyatt Regency Sydney

As organisations look to harness value from AI, data engineering serves as the gateway to successful productionisation and scale. As we officiate at the marriage of data science, software and data engineering we’ll review organisational team structures, systems and agile approaches that can accelerate delivery, continuous monitoring and improvement and better understand how to navigate the path to data value.

You can also ADD on our Advancing AI event the previous day (August 30th) click here for the agenda.

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 RELIABLE | TRANSFORMED | READY TO USE | SUSTAINABLE

The role of the Data Engineer is rapidly evolving with oversight of performance based elements of the data stack at the forefront. Join us to:

  • Optimise delivery of large and complex data to meet business needs, new demands and enrich decision making.

  • Identify opportunities for data pipeline, infrastructure, and process improvements that continuously ingest and analyse, optimise delivery, and minimise maintenance and downtime.

  • Build stronger tooling for the modern data stack, bring Cloud and DevOps into the data science workflow.

  • Manage access to sensitive data, educating data teams on efficiency and ensuring that data is trustworthy, accessible, and secure at each point in its lifecycle.

  • Communicate and collaborate to support data needs, implement change, and drive actionable insights.

 Confirmed Speakers

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Ram Kumar

Chief Data and Analytics Officer, Cigna

Alex Burton

General Manager Business Data Products & Data Architecture, Commonwealth Bank of Australia

Pooyan Asgari

Chief Data Officer, Domain Group

Philippa Davies

General Manager Transformation and Performance for Chief Data and Analytics Office, Commonwealth Bank of Australia

Ravinder Machadi

Chief Platform Engineer, Advanced Analytics, Data Platforms, Westpac Group

 
 
 

Graham Darby

Head of Data Engineering & Data Modernisation, CoreLogic

Mathew Finch

Head of Emerging Technology & Data Platforms, nib Group

Florence La Carbona

Head of Data, MetLife Australia

Prof Didar Zowghi

Team Leader – AI Diversity and Inclusion Research, Chair of the NAIC Think Tank on Diversity and Inclusion in AI, Conjoint Professor, University of New South Wales, CSIRO’s Data61

Joanna Marsh

GM Innovation & Advanced Analytics, Investa Property Group

 
 
 

Rohan Dhupelia

Head of Analytics Platform, Atlassian

Frank Fernando

Senior Engineering Manager, Zip

Michelle Irrgang

Senior Manager, Data Strategy, Governance & Planning, AMP

Vincent Koc

Head of Data, hipages Group

Vitus Chu

Chapter Lead, Data Strategy & Architecture, Resolution Life

 
 
 

Arjun Sivadasan

Development Manager - Data Platform, TAL

Andrew Barton

Machine Learning Tech Lead, Stockland

Marina Sigaeva

Senior Data Engineer, Commonwealth Bank of Australia

Nathan Steiner

Director, Field Engineering, Databricks Australia & New Zealand

Oscar Lukersmith

Lead Analytics Engineer, SafetyCulture

 
 
 

Justin Lane

Data Modeller/Data Governance Manager, SafetyCulture

Nakul Bajaj

Data Scientist, Honeysuckle Health

Ross Armitage

Manager, State-wide Data Engineering, NSW Health Pathology

Paridhi Jha

Senior Machine Learning Engineer, Wesfarmers

Tim Buchhorn

Solutions Engineer, Snowflake

 
 
 

Shivang Nagar

Data Engineer, Commonwealth Bank of Australia

Richard Glew

Chief Technology Officer, Aginic

Natalia Dronova

Senior Data Analyst, Aginic

Paul Milinkovic

Regional Director, APAC, StreamSets

Yevindra De Silva

Senior Sales Engineer, Fivetran

 
 

 Agenda


“I want to thank the organisers for curating a rich and diverse set of complementary topics and experts across the industry willing to share insightful perspectives about AI in practice.”

- Fernando Mourao, Senior AI Ethics Leader, seek

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09:00 AEST

Welcome from Data Futurology

Felipe Flores, Founder, Data Futurology

 
 

09:05 AEST

  • This session is concerned with what data actually matters, how that perception is evolving and how to respond. Data as an iterative product is more important than ever and we start from there.

Ram Kumar, Chief Data and Analytics Officer, Cigna

 
 

09:30 AEST

  • Explore how the Databricks Lakehouse powers data teams to drive transformative innovation across their business. In this session, we'll dive into the habits of data-driven organisations and the fundamentals of how a lakehouse architecture - an open architecture that combines the best elements of data lakes and data warehouses - enables both AI and BI on all your data workloads at a massive scale.

Nathan Steiner, Director, Field Engineering, Databricks Australia & New Zealand

 
 

09:55 AEST

  • This discussion session will explore the role of the engineer, and critically the factors playing into the rise and re-shaping of the role including the decentralisation of the modern data stack, shifting tooling environment, the data team break-up and rise of cloud. The data engineer’s focus has evolved from infrastructure development to performance-based elements and data reliability. What does this all mean for data engineers in the future and potential data function creep?

Moderators:

Marina Sigaeva, Senior Data Engineer, Commonwealth Bank of Australia

Shivang Nagar, Data Engineer, Commonwealth Bank of Australia

 

Panellists:

Graham Darby, Head of Data Engineering & Data Modernisation, CoreLogic

Joanna Marsh, GM Innovation & Advanced Analytics, Investa Property Group

Mathew Finch, Head of Emerging Technology & Data Platforms, nib Group

 
 

10:30 AEST

  • This session will see Rich talk about the future of data engineering, as well as how the role of a data engineer has changed over time. Nat will then discuss her experience as a data engineer and how she feels it has evolved.

Richard Glew, Chief Technology Officer, Aginic

Natalia Dronova, Senior Data Analyst, Aginic

 
 

10:55 AEST

Data Futurology Community Insights

Sharing insights from the data community.

 

11:00 AEST

Morning networking

Grab a coffee, join informal meetups, and chat in the networking hub

 

11:30 AEST

  • This session will spotlight effective data-driven organisational culture that can augment communication and data reliability. How to build effective communication channels, and ensure the movement of data, insight and understanding. What impact can we have on educating data teams to ensure data is treated with the required degree of diligence and the potential for data mesh to promote active ownership? How do we build trust?

Pooyan Asgari, Chief Data Officer, Domain Group

Florence La Carbona, Head of Data, MetLife Australia

Arjun Sivadasan, Development Manager - Data Platform, TAL

Felipe Flores, Founder, Data Futurology

 

12:05 AEST

Keynote: Data Activation & Reverse ETL

Justin Lane, Data Modeller/Data Governance Manager, SafetyCulture

Oscar Lukersmith, Lead Analytics Engineer, SafetyCulture

 
 

12:30 AEST

Keynote: Moving to operational data and analytics

Alex Burton, General Manager Business Data Products & Data Architecture, Commonwealth Bank of Australia

 
 

12:55 AEST

Networking Lunch

Enjoy refreshments, conversation, and downtime with your peers.

Women in Data Engineering GEEQ Networking lunch

VIP chat & lunch - Limited places available.

Prof Didar Zowghi, Team Leader – AI Diversity and Inclusion Research, Chair of the NAIC Think Tank on Diversity and Inclusion in AI, Conjoint Professor, University of New South Wales, CSIRO’s Data61

 
 
 

Track A: DataEng Tenets


Track B: DataEng Innovation & Opportunity


14:00 AEST

  • In this session, Nakul will bust 5 myths of MLOps.

Nakul Bajaj, Data Scientist, Honeysuckle Health

 
  • Join this session to learn how flexible, open data ecosystems are able to deliver performance, automation and simplicity in the language of your choice. Discover how you can spend more time on engineering value from data instead of managing infrastructure.

Tim Buchhorn, Solutions Engineer, Snowflake

 
 

14:25 AEST

  • DataOps is a necessary practice for delivering continuous data analytics. While many equate DataOps as “DevOps for data”, smart data pipelines are the foundation needed to enable a people, processes, and technology framework for DataOps. Current data observability approaches promise data health by applying algorithms on black box pipelines as an afterthought. True global data observability is only achieved with instrumented data pipelines that provide a system-level view of data health and manage data drift to ensure reliable analytics delivery.

Paul Milinkovic, Regional Director, APAC, StreamSets

 
  • This session will talk about challenges in taking a machine learning model from a proof-of-concept stage to a production stage. This session will cover different aspects of model productionisation around people, process, and technology in an enterprise environment.

Paridhi Jha, Senior Machine Learning Engineer, Wesfarmers

 
 

14:50 AEST

  • Embarking on a transformation journey can be daunting with many pitfalls and challenges along the way. Every organisation undertaking this journey would take a unique path driven largely by the company culture, leadership, risk appetite, tech stack and most importantly people and budget. Having been through few of these transformations across organisations, I have been fortunate enough to have learnt a lot through my adventures and what I would like to share is some real-world scenarios and learnings from the trenches. There is no one size fits all but there are things to consider: Are you ready, have you done your homework?

    As Yoda would say "Difficult to see; always in motion is the future”, same applies to Data Engineering.

Frank Fernando, Senior Engineering Manager, Zip

 
  • Enterprise applications hold your company's most valuable data. This data is high volume, sits on large databases and these systems no longer work in silos - analytics and business modelling is no longer done alone. Join this session to learn how:

    • Ingestion patterns from these systems have lagged due to walled gardens.

    • Log based CDC ingestion can manage high volumes.

    • Architecture and roadmap for HVA (especially SAP).

    • Demo Oracle HVA.

Yevindra De Silva, Senior Sales Engineer, Fivetran

 
 

15:15 AEST

Afternoon Networking

Grab a coffee, join informal meetups, and catch a Data Futurology ‘Collective Intelligence’ broadcast in the networking hub.

 

15:45 AEST

  • Listen in on an open and transparent reflection of Atlassian's analytics platform journey over the last ~7 years. In this session Rohan will be talking through what worked well and what could have been better as Atlassian built out a multi-petabyte data lake used by +60% of the company.

Rohan Dhupelia, Head of Analytics Platform, Atlassian

 
 

16:10 AEST

Champagne roundtables: DataEng community conversations

Don’t hold back! Join a discussion, and find your conversation sweet spot:

1: How to build trust and confidence in the data that you provide

Vincent Koc, Head of Data, hipages Group

 

2: The role of the ML Engineer

Ravinder Machadi, Chief Platform Engineer, Advanced Analytics, Data Platforms, Westpac Group

Andrew Barton, Machine Learning Tech Lead, Stockland

 

3: How to scale data teams, manage the talent gap, ensure diversity and inclusion and foster skills for the future?

Philippa Davies, General Manager Transformation and Performance for Chief Data and Analytics Office, Commonwealth Bank of Australia

 

4: Exploring modern data engineering approaches and structures on the path to value.

Vitus Chu, Chapter Lead (Head) Data Strategy and Architecture, Resolution Life

 

5: Achieving scale and agility in public sector organisations

Ross Armitage, Manager, State-wide Data Engineering, NSW Health Pathology

 

6: Mission 101: Governing Data – What does this mean and why should we care?

Michelle Irrgang, Senior Manager, Data Strategy, Governance & Planning, AMP

 
 

17:00 AEST

Data Futurology Networking Reception

 
 

 Made Possible By


“The Data Futurology events have provided DataRobot a great way to tap into Business Leaders and the Data Science community across Australia. The quality of people that attend this event is second to none, and our team love the interesting business-led conversations we have regarding solving the hardest data science challenges.”

- Craig Lowe, Corporate Account Executive, DataRobot

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 Gold Partners

 

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