About ePipe Cloud

ePipe Cloud is an international data consultancy and AI application development firm, renowned for its expertise in asset management and the transformation of traditional industries. With a proven track record in guiding organisations through digital evolution, we empower businesses to unlock the full value of their data and embrace intelligent automation.

Currently operating in Australia, ePipe Cloud delivers tailored solutions for local enterprises, supporting their journey towards modernisation and operational excellence.

Our team leverages advanced methodologies in data engineering, modern ELT, cloud migration, and metric governance. We specialise in the deployment of cutting-edge AI products, including predictive analytics, recommendation engines, document intelligence, and conversational bots. Our approach integrates global best practices such as dbt modelling, real-time CDC, and cost-efficient serverless architectures.

ePipe Cloud remains at the forefront of international innovation, continuously adopting the latest advancements in data strategy, scalable analytics, and AI enablement to ensure our clients stay ahead in a rapidly evolving digital landscape.

Our Leadership

Alex MacIntyre

Alex MacIntyre

Director of AI & Technology Strategy

Alex is the person you call when a client says, “We want AI… but it also has to pass government audit.” With a Scottish–Irish family line that literally comes from builders (“Mac an tSaoir” — son of the carpenter), he approaches technology the same way: solid foundations first, clever design on top.

He studied Software Engineering (Hons) at the University of Melbourne, then went on to specialise in data, AI and governance — including time in the US, which gave him a healthy habit of translating tech into business English. Today he works across AWS and Azure, and is annoyingly good at cost optimisation and serverless for Australian workloads.

Before joining us, Alex delivered digital and AI projects for government, healthcare and large enterprises, often playing the “technical translator” between CISOs, product people and execs. He’s comfortable in rooms where compliance, architecture and politics all show up at the same time.

Clients like him because he’s direct, funny without being casual, and very good at explaining why something can be done — and what it will actually cost. Inside the team, he’s the one we lean on for AI roadmap decisions, LLM deployment patterns, and “will this pass an Australian regulator?” conversations.

William Norman-Ryder

William Norman-Ryder

Chief Technology Officer (CTO)

Will leads the company’s technology vision and architecture, overseeing the design of scalable systems, development direction, and high-level technical engagement with key clients.

Originally from Sydney, Will brings together a unique blend of British heritage and Australian innovation. His family traces its roots to northern England’s historic riders, while his professional journey spans two continents. After earning his degree in Statistics from the University of Miami (USA), Will moved to Australia and completed further studies at the University of Sydney, where he developed his expertise in data engineering and applied machine learning.

Before joining our team, Will served as Development Lead for ANZ’s financial platform and Head of Engineering at a SA healthcare technology company, building robust systems that now serve thousands of enterprise users.

Known for his clear communication, calm leadership, and deep technical insight, Will bridges the gap between business strategy and engineering execution.

Our Experts

Alvin Tian

Alvin Tian

Senior Data Engineer

Alvin is a mid-level data engineer specializing in scalable data pipeline architecture, modern ELT frameworks, and performance optimization. He has extensive experience building resilient Bronze/Silver/Gold pipelines and dbt models for enterprise clients, and is proficient in Google Cloud Platform (GCP), Terraform for infrastructure as code, and CI/CD automation for seamless data deployment and workflow management.

Skills: dbt, ELT pipelines, CDC, Python, Azure Data Factory

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Keran Chen

Keran Chen

Senior Data Application Developer

Keran focuses on data-driven application development, building analytical products, dashboards and AI-enabled services. She has a strong background in productionising ML pipelines and integrating analytics into operational systems.

Skills: SQL, JavaScript, Dashboards, ML infra, API integration

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Rex Meng

Rex Meng

Data Engineer

Rex is experienced in data ingestion, transformation and pipeline monitoring. He excels at connecting third-party financial APIs and building robust ETL processes suited for fintech and digital-asset projects.

Skills: ETL, Kafka, Airflow, REST APIs, Crypto data integration

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