Azure Data Factory Consultant

Automate your data pipelines and simplify integration with Azure Data Factory

AGER BI helps organisations design and deploy scalable data pipelines using Azure Data Factory. We build modern, cloud-first solutions that replace manual processes, accelerate reporting, and connect your data sources end to end.

Our satisfied customers

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.

Discover Your Business Data Maturity

A short questionnaire to assess how well your business is using data to support decision-making, visibility, and growth. You'll receive a breakdown of your data maturity level and clear suggestions for what to do next.

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.

Client Success Stories

Click on the logos below to browse our client case studies to see the impact of our BI solutions.

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Bay Building Group
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 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

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 hundreds of on-prem and cloud data sources with minimal effort. ADF supports batch and streaming data to keep your 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.

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.