Data Engineering
Data Engineering
Transform raw data into business value.
Data Engineering Services
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Data Modeling
Design optimized data structures and schemas for analytics and operational systems -
Data Warehousing Solutions
Centralize and organize enterprise data for powerful analytics and reporting -
Governance & Compliance
Establish data quality, security, and regulatory compliance frameworks (HIPAA+) -
Infrastructure Deployment
Implement robust data warehouses and processing systems on-premise or in cloud -
Real-Time & Batch Pipelines
Process streaming data instantly or in scheduled batches at scale -
Reverse ETL
Push processed data from warehouses back to operational systems and tools
Case Studies
Who uses our Data Engineering services?
Fortune 500 companies and large corporations requiring scalable, enterprise-grade solutions.
Growing businesses needing robust applications to support company expansion.
Businesses leveraging cutting-edge technology to create disruptive products.
Health system providers, insurance carriers, & health tech companies needing HIPAA compliant solutions.
Banks, fintech companies, and investment firms needing secure, regulated financial solutions.
FAQs
What Data Engineering services does FortyAU offer?
FortyAU offers a wide range of services under Data Engineering, including data modeling, real-time and batch data pipelines, custom data source ingestion, and robotic process automation (RPA).
How can Data Engineering help my business?
With Data Engineering, our clients are able to organize and manage their data efficiently, enabling more accurate decision-making. It also helps build reliable data pipelines that collect, process, and store data from multiple sources in real time.
Can FortyAU automate repetitive data tasks?
Absolutely. At FortyAU, we automate data workflows using tools like Robotic Process Automation (RPA) to improve efficiency and reduce manual errors across processes.
How does FortyAU ensure data systems are scalable and reliable?
Using cloud-native tools and industry best practices, we design data systems that are built for scalability and long-term reliability, so our clients can grow without disruption.