Dayanand Balaboina
Resume

Dayanand Balaboina

Principal Data and Analytics Consultant, NSW Treasury

Professional Summary

Principal-level Data Engineering and Platform Architecture leader with extensive experience designing, delivering, and scaling enterprise data platforms, analytics ecosystems, and cloud‑native data solutions across government, financial services, media, and consulting environments.

Proven track record leading high‑performing engineering teams, modernising legacy data estates, architecting secure and scalable data platforms, and transforming complex business requirements into strategic data products. Combines deep technical expertise in Snowflake, Databricks, Azure, AWS, and modern data architectures with strong stakeholder leadership, governance, and delivery capabilities.

Recognised for bridging the gap between engineering, architecture, and business strategy while driving AI‑enabled innovation, automation, and data product adoption across enterprise environments. Experienced in defining platform roadmaps, establishing engineering best practices, implementing governance frameworks, and enabling organisations to leverage data as a strategic asset.

Core Leadership Capabilities

Data Engineering Leadership
  • Enterprise Data Platforms
  • Data Product Delivery
  • Data Quality Engineering
  • ETL / ELT Architecture
  • Metadata-Driven Frameworks
  • Platform Modernisation
  • Data Governance
  • Engineering Excellence
Architecture & Strategy
  • Data Platform Architecture
  • Lakehouse Architecture
  • Modern Data Stack Design
  • Solution Architecture
  • Cloud Architecture
  • Enterprise Integration
  • Technical Roadmaps
  • Platform Governance
AI & Innovation
  • AI Enablement Strategy
  • Microsoft AI Foundry
  • Agentic AI Concepts
  • Generative AI Integration
  • Intelligent Automation
  • AI-Assisted Data Engineering
  • Data Standardisation & Enrichment
  • AI-Powered Analytics
Leadership & People Management
  • Technical Leadership
  • Team Management
  • Mentoring & Coaching
  • Capability Uplift
  • Stakeholder Engagement
  • Executive Communication
  • Cross-Functional Leadership
  • Delivery Governance

Technical Expertise

Microsoft Azure
  • Azure Data Factory
  • Azure Databricks
  • Azure Storage
  • Azure Functions
  • Azure SQL
  • Azure DevOps
Snowflake
  • Snowpipe
  • Streams & Tasks
  • Dynamic Tables
  • Data Sharing
  • Governance
  • Performance Optimisation
  • Data Modelling
  • Platform Administration
AWS
  • Lambda
  • EC2
  • S3
  • RDS
  • API Gateway
Modern Data Stack
  • Databricks
  • Airflow
  • dbt
  • Power BI
  • Tableau
  • GitHub
  • GitLab CI/CD
Programming & Engineering
  • Python
  • PySpark
  • SQL
  • T-SQL
  • Snowflake SQL
  • Oracle SQL
  • PostgreSQL
  • SQL Server
  • Redshift
Data Architecture
  • Lakehouse Architecture
  • Medallion Architecture
  • Enterprise Data Warehousing
  • Data Vault
  • Dimensional Modelling
  • ODS Design
  • Master Data Management
  • Metadata Management
  • Data Lineage
  • Data Quality Frameworks
  • Data Contracts
  • Reference Data Management
AI & Emerging Technologies
  • Microsoft AI Foundry
  • AI Solution Design
  • Prompt Engineering
  • Agent-Oriented Architectures
  • AI Governance Concepts
  • Intelligent Data Classification
  • AI-Driven Data Quality
  • AI-Enriched Data Pipelines
  • Generative AI Use Cases

Professional Experience

Principal Consultant – Data & Analytics
NSW Treasury, Sydney | Apr 2023 – Present

Serve as technical lead for enterprise-scale data engineering, analytics, platform architecture, and AI‑enabled innovation initiatives supporting NSW Procurement and broader government reporting capabilities.

Data Platform Leadership

  • Lead the architecture, design, and delivery of enterprise-grade data platforms supporting procurement analytics, supplier reporting, executive reporting, and whole-of-government decision-making.
  • Define engineering standards, governance frameworks, delivery practices, and operational controls across cloud-native data platforms.
  • Drive platform modernisation initiatives that improve scalability, maintainability, governance, and operational resilience.

Platform Architecture & Engineering

  • Architect and deliver production-grade ETL/ELT frameworks leveraging Snowflake, Databricks, Azure Data Factory, Oracle, SFTP integrations, and Power BI.
  • Design secure, scalable, fault-tolerant integration patterns across multiple government agencies and technology environments.
  • Establish metadata-driven development approaches to improve platform consistency and reduce delivery complexity.
  • Implement engineering patterns supporting maintainable, reusable, and highly testable data solutions.

Snowflake Platform Governance

  • Lead Snowflake platform adoption, optimisation, and governance initiatives.
  • Introduce Git-integrated schema management, automated DDL versioning, and repository-based engineering practices.
  • Standardise reference-data management and metadata governance frameworks across multiple analytics platforms.
  • Improve platform reliability, performance, and supportability through engineering standardisation.

Data Quality & Data Product Enablement

  • Design and expand enterprise data quality frameworks supporting automated validation, exception management, supplier feedback workflows, and operational reporting.
  • Deliver trusted data products that improve transparency, reporting accuracy, and business confidence in analytics outputs.
  • Establish scalable quality assurance processes that significantly reduce manual intervention while improving reliability.

AI & Innovation Leadership

  • Drive AI experimentation and innovation initiatives focused on Microsoft AI Foundry and intelligent automation.
  • Evaluate AI use cases supporting data standardisation, enrichment, quality management, and operational efficiency.
  • Champion adoption of emerging technologies that improve engineering productivity and business outcomes.
  • Help define future-state AI-enabled analytics capabilities aligned with organisational strategy.

Team Leadership

  • Lead and mentor engineers and analysts across multiple workstreams.
  • Provide technical governance, architecture guidance, code reviews, and engineering direction.
  • Deliver capability uplift programs covering Snowflake, Azure Data Factory, CI/CD, GitHub, Python, and modern engineering practices.
  • Foster a high-performance engineering culture focused on quality, collaboration, continuous improvement, and innovation.

Key Achievements

  • Delivered enterprise-wide professional services spend reporting capability supporting whole-of-government stakeholders.
  • Resolved complex cross-agency integration challenges through scalable architecture solutions.
  • Automated previously manual reporting and operational processes, driving significant productivity gains.
  • Successfully modernised legacy workflows into cloud-native data platforms.
  • Received the Innovation Award for delivering a high-impact automated solution supporting the Audit Office.

Senior Data Scientist / Analytics Engineer
Customer Crunch, Sydney | Jun 2018 – Mar 2023

Delivered analytics transformation, cloud data platform modernisation, engineering leadership, and advanced analytics consulting across government, media, financial services, and commercial organisations.

Key Responsibilities

  • Led enterprise data engineering and analytics engagements.
  • Designed cloud-native data platforms using dbt, Airflow, Redshift, AWS, SQL Server, and Power BI.
  • Delivered platform migrations, architecture reviews, governance initiatives, and operational improvements.
  • Managed stakeholder relationships across executive, operational, and technical teams.
  • Guided technical teams through modern engineering practices and scalable solution design.

Major Client Engagements

  • ABC: designed scalable dbt, Redshift, and Airflow data platform; improved ingestion efficiency, data quality, and analytics adoption.
  • AMP: built automated regulatory data pipelines supporting APRA reporting; improved governance, master data quality, and reporting automation.
  • NSW Department of Education: developed risk-scoring frameworks and analytics solutions; delivered governance improvements generating significant operational savings.
  • ING Direct & Tabcorp: designed experimentation frameworks and advanced analytics solutions; improved customer engagement and reporting effectiveness.
  • NatRoad: architected cloud-native data solutions on AWS; led large-scale data integration programs and machine learning deployments.

Junior Data Scientist
GoCatch, Sydney | Feb 2018 – Jun 2018

  • Developed predictive analytics and optimisation models.
  • Automated reporting processes using Python.
  • Performed large-scale data extraction, transformation, and feature engineering.

Education

MBA (Implementation Management) Victoria University, Melbourne
Data Science Pathway Program General Assembly, Sydney
Bachelor of Engineering JNT University, Hyderabad
Back to projects

Get In Touch!