Layla Jung

About

Layla Jung is a seasoned Data & AI Consultant with deep expertise in Microsoft Power BI semantic modelling, Fabric data pipelines and Databricks analytics platforms. She has delivered complex data transformation and AI initiatives across energy, telecommunications and higher education sectors. Most recently she led an internal Copilot-on-Fabric pilot that accelerated report development by 40% for Data#3’s own analytics team.

Experience

1. 2022-03 — Present

   Current
   Data & AI Consultant

   Data#3

   Lead consultant delivering modern data platform and AI solutions for Australian clients, specialising in Microsoft Fabric, Power BI semantic models and Databricks implementations.

   • Designed and deployed enterprise semantic models serving 800+ users
   • Built internal Copilot-on-Fabric pilot reducing report development time by 40%
   • Mentor junior consultants on Fabric and Databricks best practices
2. 2018-06 — 2022-02
   Senior BI Developer

   AGL Energy

   Developed and maintained BI solutions within the Energy & Utilities sector, focusing on customer analytics, consumption forecasting and regulatory reporting.

   • Led migration of on-premise SSAS cubes to Azure Analysis Services
   • Created automated Databricks notebooks for energy load forecasting
   • Reduced monthly reporting cycle from 12 days to 3 days
3. 2014-02 — 2018-05
   BI Developer

   Commonwealth Bank of Australia

   Built and optimised Power BI and SSRS solutions supporting retail and institutional banking teams, with emphasis on semantic model performance and self-service analytics.

   • Developed enterprise semantic layer adopted by 12 business units
   • Implemented row-level security models handling 2.5 million daily queries
   • Trained 80+ business users on self-service BI capabilities
4. 2010-11 — 2014-01
   Data Analyst

   Telstra

   Provided advanced analytics and reporting for network performance, customer experience and marketing campaigns within Australia’s largest telco.

   • Built executive dashboards using early versions of Power BI and Qlik
   • Analysed terabyte-scale call records to identify churn predictors
   • Contributed to award-winning customer 360 analytics program
5. 2008-01 — 2010-10
   Junior Data Analyst

   University of Adelaide

   Supported institutional research and student analytics initiatives as part of the university’s Business Intelligence team.

   • Developed student retention predictive models
   • Created interactive enrolment dashboards for faculty deans
   • Automated research grant reporting processes

Projects

1. Copilot on Fabric Internal Pilot

   2024-09 — 2024-12
   Data#3 Internal · Professional Services · as Project Lead

   Successfully stood up internal pilot; 40% reduction in report development time across 3 business units and 92% user satisfaction score.

   Microsoft FabricPower BIAzure OpenAI ServiceCopilot StudioDatabricks
2. Network Performance Copilot Pilot

   2024-03 — 2024-08
   Optus · Telco · as Solution Architect

   Built internal Copilot-on-Fabric prototype that answered 78% of common network queries, saving 120 hours per month of analyst time.

   Microsoft FabricCopilot StudioDatabricksPower BIAzure OpenAI
3. Fabric Lakehouse & Semantic Layer Modernisation

   2023-05 — 2024-02
   SA Power Networks · Energy & Utilities · as Lead Data Consultant

   Delivered unified semantic model serving 450 users; reduced data refresh time from 4 hours to 18 minutes and improved self-service analytics adoption by 65%.

   Microsoft FabricPower BIDatabricksAzure SynapseDAXPython
4. Student Success Fabric Data Platform

   2022-09 — 2023-04
   University of South Australia · Higher Education · as Semantic Model Specialist

   Integrated 14 disparate student data sources into a single Fabric lakehouse; predictive model achieved 81% accuracy in identifying at-risk students.

   Microsoft FabricPower BI Semantic ModelsDatabricks NotebooksAzure ADSQL
5. Enterprise Meter Data Analytics Hub

   2020-01 — 2021-12
   AGL Energy · Energy & Utilities · as BI Developer

   Centralised 3.2 billion meter readings; enabled real-time consumption insights for 1.8 million customers and reduced billing error rate by 92%.

   Power BIAzure Data FactoryDatabricksSSAS TabularDAX
6. Retail Banking Semantic Model Optimisation

   2016-03 — 2017-11
   Commonwealth Bank · Financial Services · as BI Developer

   Redesigned semantic model reducing query latency by 87% and enabling 400 concurrent users during peak trading periods.

   Power BIAnalysis ServicesDAXSQL ServerAzure

Beyond the day job

Skills and experience from outside the day job — community, volunteering, hobbies and more.

1. Data Mentor, Code Club Australia

   Volunteering
   Code Club Australia

   Mentors secondary school students in Adelaide on data visualisation and basic Python projects using Power BI and Jupyter notebooks.

   CommunicationData LiteracyMentoring
2. Adelaide Data & AI Meetup Co-organiser

   Community / club
   Adelaide Data & AI Meetup

   Helps run monthly technical meetups focusing on Microsoft Fabric, Databricks and responsible AI.

   Community BuildingEvent ManagementPublic Speaking

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