Dian Octaviani

Senior Engineer

I’ve spent over the last 10 years working across consulting and product-focused tech teams, using data and technology to solve business problems.

Currently working as part of Xero’s internal AI Platforms team, where I help teams ship AI-powered products faster and more reliably. I do my best work in collaborative, team-first environments.

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Experience

Senior Engineer - AI Platforms - Xero

Mar 2022 - Present

I am currently working remotely at Xero, where I’ve transitioned from the role of Senior Data Engineer to Senior Engineer in AI Platforms.

Senior Engineer - AI Platforms (Apr 2025 to Present)

Standardise the ways to ship AI-powered products faster and more reliably.
Building and operationalising agents
Managing AI gateway and LLM model integrations

Senior Data Engineer (Mar 2022 to Apr 2025)

Delivered Insights on Product Stability, Operational Health, Release Controls and Engineering Analytics.
Designed data pipelines from developer’s source platforms like GitHub, AWS, Cortex, etc.
Conducted code reviews and mobbing sessions with the team
Built data models using Data Vault, dbt, SQL, Snowflake
Orchestrated pipeline and deployments using Prefect and GitHub Actions
Visualized key metrics in Tableau and MicroStrategy

Data Engineer - JobAdder

Aug 2021 - Feb 2022

Role: Contributed to data analytics and pipelining for JobAdder, a recruitment SaaS company.

Key Responsibilities:

Introduced Python environment and package management using Conda.
Introduced collaborative coding practices (Git Branching, PRs, Issues, Releases)
Automated the build, deploy and test of pre-releases to Test environments via CI/CD pipelines using GitHub Actions, Bash, S3 and internal DevOps framework.
Developed ETL module for data sourced from Monday.com’s GraphQL API in Python
Bug fixes and enhancements (SQL, Python)
AWS Infrastructure Management (AWS RDS, Redshift, EC2, SSM, IAM)

Data Engineering Consultant - Contino

Jan 2020 - Aug 2021

Role: Data engineer in a consulting firm, delivering projects across various clients within the Data Practice. Longest project was Victoria’s Department of Health.

Key Projects:

Everlight Radiology: Developed dimensional modelling for radiologist’s timesheet entries data using Amazon RDS (mySQL), Deputy API & Kimball Data Modelling.
Woolworths: API testing for SuccessFactors using Postman, Firebase & Python
Victoria’s Department of Health:
- Data migration for Melbourne’s COVID tracing system from legacy PHESS system to Salesforce using Azure Data Factory, Azure Functions, SQL and Salesforce API.
- Involved in data integration using ArcGIS for information around LGAs, Addresses, etc.
- Performed fixes of data issues and bugs to ensure accurate reporting of COVID data.
- Performed deployment of releases and hotfixes to Production during low user-traffic time windows.
NAB: Optimized data deliveries and transitioned data warehouses from Redshift to Snowflake.

Data Engineering Consultant - Analytics8

Oct 2018 - Dec 2019

Role: Data engineer in a consulting firm, delivering projects to a long term client, KFC (Yum! Brands).

Key Responsibilities:

Built data pipelines using Azure, AWS S3, Snowflake, and Python for ELT/ETL of online customer orders (Deliveroo and Menulog), payment data (PayPal, Braintree and Adyen), Wi-Fi analytics (Purple), and KFC mobile app interactions.
Integrated data between Braze, Google Analytics, and Facebook for audience segmentation in ad campaigns in liaison with Mediacom & O’Gilvy.
Assisted in migrating data from on-prem SQL DB, Azure SQL DW, and Amazon RDS to Snowflake.
Supported daily operations by maintaining parts of the Data Warehouse and SSIS scripts for data across 650+ KFC stores - such as performing bug fixes, health checks, and performance tuning during migration.
Conducted data analysis for operational reporting issues in MicroStrategy and Power BI.

BI Developer - QBT Consulting

Nov 2017 - Oct 2018

Role: Improved reporting and streamlined operational data for clients of QBT’s managed IT services.

Key Responsibilities:

Automated billing reconciliation and sales monitoring using Power BI, SQL, and SSIS.
Developed reports based on SLA data and trained staff on new implementations.
Semi-automated the restructuring of SLAs in ConnectWise to enable automated renewals, pricing updates and invoice generation across 248 active small clients.

Technical Business Analyst - Optika

Jul 2015 - Nov 2017

Role: Contributed to data analytics, automation, migration and systems design for clients. Longest client was Woodside Energy.

Key Projects:

Catholic Education: Data migration from on-prem Oracle DBs to Azure Data Warehouse across 200 private schools.
Woodside Energy: Developed ETL processes and BI reports for LNG markets using R and TIBCO Spotfire.
Internal Projects: Improved DevOps processes and optimized product release cycles using GitLab CI/CD and Chef.