Data Engineering in Australia

Build and maintain the organisation’s data pipelines.

Data Engineering Consulting Services in Brisbane, Australia

Technology Cue: Empowering Organizations with Data Engineering Solutions

Welcome to Technology Cue, your trusted partner for Azure Data Engineering Services. In today’s data-driven era, organizations need efficient and scalable solutions to manage and derive insights from their data. Leveraging the power of Microsoft Azure, our expert team of data engineers is dedicated to helping businesses build robust data infrastructures, optimize data processing, and unlock the full potential of their data. With Technology Cue’s Azure Data Engineering Services, you can transform your data into a strategic asset, driving growth and innovation.

Data Engineering Services

At Technology Cue, we offer comprehensive Data Engineering Services that cater to your organization’s unique requirements. Our skilled professionals are experienced in designing, implementing, and managing data solutions on the Azure platform. We collaborate closely with our clients to understand their business goals and tailor Azure-based data engineering solutions that drive efficiency, scalability, and data-driven decision-making.

Data Infrastructures: The Foundation of Success

A strong data infrastructure forms the foundation of any successful data-driven organization. Our data engineering consultants understand the intricacies involved in creating scalable and efficient data architectures. We work closely with you to assess your existing infrastructure, identify gaps, and recommend tailored solutions. Whether it’s on-premises, cloud-based, or hybrid environments, we have the expertise to optimize your data architecture for maximum performance. Our data engineering consultants specialize in designing and building scalable data infrastructures using Microsoft Azure services and AWS. We evaluate your existing infrastructure, identify areas for improvement, and leverage Azure technologies such as Azure Synapse Analytics, Azure Data Lake Storage, and Azure Databricks to architect data environments that can handle your organization’s growing data demands.


Data Ingestion






Real-time Data

Data Processing and Analysis

Effective data processing and analysis are key components of successful data engineering. Our team excels in implementing robust data pipelines that ensure the smooth flow of data from various sources to your analytical systems. We employ cutting-edge technologies and frameworks to cleanse, transform, and enrich your data, enabling accurate and actionable insights. With our expertise in data analysis, you can make data-driven decisions that propel your business forward.

At Technology Cue, our AWS and Azure data engineers leverage Azure Data Factory, Azure HDInsight, and Azure Functions to design and implement streamlined data pipelines. By integrating data from various sources and employing Azure services such as Azure SQL Database, Azure Analysis Services, and Power BI, we enable you to make data-driven decisions and unlock the true value of your data assets.

Unlocking the Power of Amazon Web Services (AWS)

As an AWS Consulting Partner, we possess deep knowledge and hands-on experience in leveraging the power of Amazon Web Services. Our data engineering consultants are adept at designing scalable and secure data solutions on the AWS platform. Whether it’s leveraging AWS services like S3, Glue, Redshift, or Athena, we tailor our recommendations to meet your specific business requirements. Partner with us to unlock the true potential of AWS and take your data engineering to new heights.

Case Study: Customer Experience Enhancement

A leading e-commerce company sought to improve its understanding of customer sentiments and enhance the overall customer experience. Technology Cue was tasked with integrating data from various sources, including Qualtrics, Feedback ASAP, and Dynamics 365. By leveraging Azure Data Factory and Azure Data Lake Storage, we designed a data ingestion pipeline that automatically collected and integrated customer feedback and interaction data into a unified data repository. This enabled our client to gain valuable insights, identify areas for improvement, and make data-driven decisions to enhance customer satisfaction.

Leveraging Azure's Advanced Data Analytics Capabilities

Azure provides a wealth of advanced data analytics capabilities that can take your data engineering initiatives to the next level. Our consultants specialize in harnessing Azure Machine Learning, Azure Cognitive Services, and Azure Data Explorer to help you implement predictive analytics, leverage AI capabilities, and gain deeper insights into your data. With Technology Cue’s expertise and Azure’s powerful tools, you can uncover hidden patterns, optimize operations, and drive innovation within your organization.

Ensuring Data Security and Compliance

Data security and compliance are of paramount importance in today’s digital landscape. At Technology Cue, we prioritize the protection of your data and ensure adherence to regulatory standards. By implementing Azure security features such as Azure Active Directory, Azure Key Vault, and Azure Sentinel, we safeguard your data assets against potential threats. Our Azure data engineering solutions are designed to meet industry-specific compliance requirements, including GDPR, HIPAA, and more.

Technology Cue is your trusted partner for Azure Data Engineering Services, empowering organizations to unlock the full potential of their data assets. With our expertise in building scalable data infrastructures, efficient data processing and analysis, leveraging Azure’s advanced analytics capabilities, and ensuring data security and compliance, we help you drive innovation, optimize operations, and make data-driven decisions. Our experience in ingesting data from various source systems such as Qualtrics, Feedback ASAP, Dynamics 365, Intrahelath, Salesforce, and many more ensures that your data is seamlessly integrated for comprehensive insights. Contact Technology Cue today to embark on your Azure data engineering journey and take a decisive step towards data-driven success.





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    Why Do You Need A Data Lake?

    A Data Lake simplifies the acquisition and storage of diverse types of data, whether structured, semi-structured, or unstructured.

    A Data Lake is a foundation for data analytics, it can feed both the production BI/DW environment and analytics sandboxes for data analysts and data scientists.

    A Data Lake can scale in a cost-effective manner