Azure Data Factory Consulting

Automate your data pipelines and simplify integration with Azure Data Factory

AGER BI provides specialist Azure Data Factory consulting services, helping organisations design, implement and optimise scalable data pipelines across cloud, hybrid and on-premises environments. Our Azure Data Factory consultants automate data integration, replace manual processes and connect your data sources to modern analytics platforms including Microsoft Fabric, Azure and Power BI.

Supporting organisations across Australia, New Zealand, and internationally with Azure Data Factory consulting and integration services.

Organisations we’ve helped

What we’ve helped our clients achieve

0M

In savings and new value unlocked

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Data projects delivered with lasting business impact

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Years of solving complex data challenges

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Users supported across Australia and New Zealand

Azure Data Factory consulting services that help you unlock real business value

Data pipeline architecture

Design scalable pipelines that support data integration and transformation across cloud and on-prem environments.

Data ingestion and movement

Use Azure Data Factory to connect, ingest, and sync data from sources like SQL, REST APIs, flat files, and third-party platforms.

Data transformation

Use Data Flows, mapping logic, and dynamic content to clean, shape, and transform data efficiently within your pipeline.

Orchestration and automation

Coordinate data movement and transformation with scheduling, triggers, and dependencies aligned to your business logic.

Hybrid data integration

Bridge cloud and on-prem systems with Azure’s self-hosted integration runtime for secure, seamless connectivity.

Monitoring, optimisation, and scaling

Monitor pipeline health, handle failures, and scale workflows with built-in tools, alerts, and diagnostics.

Azure Data Factory Implementation

Design and implement production-ready Azure Data Factory environments, including pipelines, linked services, integration runtimes, security, monitoring and deployment processes.

Data Migration & Modernisation

Modernise legacy and manual data integration processes by migrating existing ETL workloads and data pipelines to scalable, automated Azure Data Factory solutions.

CI/CD & DevOps

Establish source control, deployment pipelines and development standards to support reliable Azure Data Factory releases across development, test and production environments.

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What’s included in the Azure Data Factory ecosystem

Pipelines

Define end-to-end workflows that combine data ingestion, transformation, and orchestration in one visual interface.

Data Flows

Create visual data transformation logic without writing code. Use expressions, joins, aggregates, and derived columns to prepare data for analytics.

Linked Services

Set up secure connections to data sources and destinations, from SQL databases and Blob Storage to SaaS platforms like Salesforce and Dynamics 365.

Datasets

Define the structure and schema of your data within the pipeline to simplify management and reuse across activities.

Integration Runtime

Enable data movement across network boundaries using either Azure-hosted or self-hosted integration runtimes. Ideal for hybrid environments.

Triggers

Schedule and automate pipeline execution using event-based, scheduled, or tumbling window triggers.

Monitoring & Alerting

Track activity runs, debug failures, and set up alerts using Azure Monitor and built-in diagnostic tools.

Support for Advanced Analytics

Integrates with Azure ML and Databricks to power advanced analytics—run ML models, real-time analytics, and auto-trigger actions from insights.

Version Control & CI/CD

Connect to Git for source control and enable CI/CD pipelines to streamline development, track changes, and automate deployments.

 A simple, strategic process that puts you first

And here’s how we make Azure Data Factory work for your organisation

1: Discover

We start with a free consultation to understand your goals, challenges, and the data environment you’re working in. No pressure, no pitch — just a genuine conversation about where you’re at and where you want to go.

2: Design

Once we understand the landscape, we build a tailored plan. This includes a clear strategy, priority roadmap, and practical recommendations to start solving real problems fast.

3: Deliver

We implement the solution in phases, working closely with your team to ensure every step adds value. You stay informed, in control, and supported as we deliver a BI system that’s built to last.

Improved Decision-Making

Cost-effective

Collaboration

Real-Time Analysis

Data Governance

Scalability

Robust Security

Ease of Use

Speak with an expert
How we deliver results

Your trusted certified Microsoft experts

Microsoft Azure Data Engineer Associate logo

Microsoft Azure Data Engineer Associate

Microsoft Power BI Data Analyst Associate logo

Microsoft Power BI Data Analyst Associate

fabric analytics engineer logo

Fabric Analytics Engineer Associate

databricks logo

Databricks Associate Developer for Apache Spark 3.0

We are certified specialists in Microsoft platforms such as Power BI, Fabric, Azure Data Factory, Azure SQL Database, Azure Synapse Analytics and Azure Databricks. We are also experts in Qlik View, Qlik Sense, Snowflake and Tableau.

What Azure Data Factory can do for your business

Number 1

Streamline data integration across systems

  • Connect to a wide range of on-premises and cloud data sources and automate scheduled or event-driven data movement to keep reporting pipelines current and connected.

Number 2

Automate manual workflows

  • Replace spreadsheet-driven or hand-coded ETL jobs with a maintainable, scalable automation framework that adapts to your business needs.

Number 3

Reduce data latency

  • Move and transform data in near real-time to reduce lag between source systems and reporting platforms—so you’re always acting on current information.

Number 4

 Improve reporting reliability

  • Standardise and control how data flows into your BI environment. With automated pipelines and centralised logic, you reduce errors and eliminate data mismatches.

Number 5

Enable scalable, cost-effective pipelines

  • Use serverless infrastructure that scales with your workloads. Pay for what you use and grow your environment without managing servers or provisioning infrastructure.

Number 6

Enhance data governance and visibility

  • Maintain audit trails, track data lineage, and apply consistent business logic across all your data sources and destinations.

How Azure Data Factory is used across teams and industries

Finance

Automate consolidation of financial data from ERP, CRM, and cloud sources. Improve the speed and accuracy of reporting, forecasting, and regulatory submissions.

Retail

Combine point-of-sale, inventory, and customer data into one pipeline for real-time stock analysis, personalised promotions, and performance tracking.

Healthcare

Integrate clinical and operational systems to enable timely, accurate reporting for patient care, compliance, and resource planning.

Logistics

Bring together data from transport systems, GPS, fleet management tools, and warehousing to streamline scheduling and reduce delays.

Manufacturing

Connect MES, IoT sensors, and quality systems to improve visibility across the production line. Support predictive maintenance and yield optimisation.

IT & BI teams

Enable a centralised, scalable data integration framework that simplifies governance, supports your data warehouse or lakehouse, and reduces ETL maintenance overhead.

FAQ

Azure Data Factory is Microsoft’s cloud-based ETL and data integration service. It allows you to connect, ingest, transform, and move data across platforms using automated pipelines.

If you’re managing manual data workflows, scattered integrations, or siloed reporting, Azure Data Factory can help streamline and automate the process. Let’s talk through your current setup and see if it’s the right fit.

No, but ADF works best as part of an Azure ecosystem. We can help you integrate with what you already have or build out a lightweight Azure foundation that fits your needs.

Yes. We work with organisations in New Zealand, the United Kingdom, Europe, the United States, the Middle East, across the Asia–Pacific region, and internationally. All Azure Data Factory consulting, development, and support services are delivered remotely using Microsoft Teams and secure cloud collaboration tools, making it easy to work together across time zones.

An Azure Data Factory consultant helps organisations design, implement and optimise automated data integration solutions using Microsoft Azure Data Factory. This can include solution architecture, data ingestion, pipeline development, orchestration, transformation, hybrid integration, security, monitoring, CI/CD, performance optimisation and integration with platforms such as Microsoft Fabric, Azure SQL, Databricks and Power BI.

Yes. AGER BI can review and optimise existing Azure Data Factory environments, including pipeline architecture, performance, reliability, error handling, monitoring, security, integration runtimes and deployment processes. We can resolve specific issues or develop a roadmap for improving and scaling the wider data integration environment.

Yes. AGER BI can help organisations replace legacy, manual or fragmented ETL processes with automated Azure Data Factory pipelines. We assess the existing integrations, data sources, transformations and dependencies before designing a migration approach that improves reliability, maintainability and scalability.

Unlock the full potential of your data

Let’s talk about how we can help you get better visibility, better reporting, and better results from your data.

1300 381 500

info@agerbi.com.au