The promise of data and AI is immense. But execution demands rare talent that's hard to find and onboard quickly. Don't let your data remain an untapped resource. What if you could immediately accelerate your innovation with proven data and AI specialists?
Our high-impact Data & AI teams have just finished a significant client project and are immediately available. These are the sharp minds who don't just build models; they craft data strategies that drive real revenue and efficiency.
Transform raw data into clear, strategic intelligence and predictions.
Design and deploy ethical AI applications for automation and enhanced experiences.
Establish scalable data governance and platforms for sustainable growth.
Celeste Sangil is a Senior Consultant at Fujitsu Data & AI, specialising in Digital Delivery with over 24 years of experience as a Data and Analytics professional. She has a demonstrated background in successfully delivering projects for clients across a diverse range of industries. Celeste possesses deep expertise in business and data analysis, stakeholder management, and dimensional data modelling. Holding certifications in Scrum, Agile Project Management, and various data analytics platforms, she is committed to building strong relationships with stakeholders and advocating for data quality in all her projects.
Michael is a highly experienced Lead Consultant at Fujitsu Data & AI with over 20 years of expertise in data platforms, advanced analytics, and data strategy to drive efficiency and effectiveness across diverse sectors. He is proficient in the Microsoft Azure data stack, including Azure Synapse and Databricks, and has a strong background in both on-premises and cloud-based solutions. Michael excels at leading teams, developing data architectures, and driving continuous improvement in data management practices. His industry experience spans government, finance, healthcare, mining, and more. As a certified Microsoft Azure and Databricks professional, he is dedicated to helping organisations unlock the full potential of their data.
Beh Teik Hooi is a Lead Data Engineering Specialist at Fujitsu Data & AI, bringing over 20 years of experience leading Data and Analytics projects using emerging technologies and implementing best practices for cloud data and analytics platforms. He possesses deep expertise in managing complex data environments with a mix of On-premise and Azure technologies, including Azure Databricks, Azure Synapse Analytics and Azure Data Factory. Holding certifications as a Databricks Certified Data Engineer Professional and Associate, he provides innovative data engineering solutions and driving successful project outcomes.
Joel is a Lead Consultant at Fujitsu Data & AI, bringing over 15 years of experience in advanced analytics, data platforms, and business intelligence. He possesses deep expertise in Data Visualisation, Dimensional Modelling, Analysis Services and Self-Service Reporting. Holding multiple Microsoft Fabric and Power BI certifications, Joel excels at providing unique solutions for businesses with diverse on-premises and cloud-based platforms. His strong organisational and communication skills enable him to build effective relationships with stakeholders, ensuring project alignment and success.
Michael Copsey is a Principal Consultant at Fujitsu Data & AI, specialising in Digital Delivery with over 20 years of experience managing IT teams and implementing end-to-end Business Intelligence and Data Analytics platforms. He has proven expertise in managing IT departments and portfolios across a wide range of industry sectors in Australia and the UK. Michael is highly skilled at providing structure, direction, and leadership to large operational teams and driving continuous improvement in efficiency and effectiveness. With certifications in project management methodologies and a strong background in business intelligence, he focuses on delivering impactful digital solutions.
Ranjit Kumar is a Senior Consultant at Fujitsu Data & AI with over 13 years of experience in Data Warehouse development and advanced analytics across diverse industry sectors. He has demonstrated expertise in the end-to-end migration of SQL databases to Azure, leveraging technologies such as Azure Data Lake, Azure Databricks, and Azure Synapse. Ranjit excels at developing and optimising data pipelines, implementing data governance strategies, and providing data-driven solutions. Holding multiple Microsoft Azure and Databricks certifications, he is committed to delivering innovative and efficient data solutions that drive business value.
Rebekah Taylor is a Senior Consultant at Fujitsu Data & AI specialising in Advanced Analytics & Data Platforms, bringing deep expertise in database design, implementation, tuning, and administration. She excels in designing, building, and supporting data integration pipelines, with a focus on both on-premises and cloud data integration solutions. Rebekah has significant experience in Databricks development, Azure and AWS cloud environments, and utilising GitLab CI/CD deployment pipelines. As a Microsoft Certified Fabric Analytics Engineer Associate and a Databricks Certified Data Engineer Professional, she is dedicated to delivering robust and efficient data solutions.
Dean has over 14 years of experience across diverse industries and a high skill set encompassing programming languages like Python and Scala, database administration, and machine learning techniques. Dean is passionate about delivering high-quality technical solutions and has a proven track record of optimising business performance with his technical expertise and business intelligence experience. He has numerous Databricks certifications and is dedicated to leveraging cutting-edge technologies to drive data-driven innovation.
Also available: Elite expertise in cyber security, and ServiceNow.
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