Data & Analytics
DATA ENGINEERING & INTEGRATION
Maximize Your Data's Potential with Innovative Integration Solutions
Data Engineering & Integration Services
SOLTECH helps organizations connect disconnected data sources, automate data workflows, and build reliable infrastructure for business intelligence, analytics, and AI.
Our Data Engineering & Integration services help businesses improve how information moves between applications, databases, and cloud platforms. Through custom API development, ETL pipelines, and data integration solutions, we help reduce manual data handling, improve data accuracy, and make critical business information more accessible.
How We Help Businesses Connect Systems and Automate Workflows
Disconnected business systems can create duplicate data, manual processes, reporting delays, and operational inefficiencies.
SOLTECH develops custom data integration solutions that help organizations:
- Connect business applications through custom APIs and data exchange.
- Automate data transfers and reduce repetitive manual processing.
- Migrate and transform information between legacy and modern platforms.
- Consolidate data from multiple sources for reporting, analytics, and AI.
- Improve data accessibility and consistency across business operations.
Our approach is tailored to each organization’s existing technology, integration requirements, and business objectives.
Data Integration Strategy
A clear data integration strategy helps organizations connect information across databases, cloud platforms, APIs, IoT devices, and other systems.
SOLTECH evaluates your data sources and integration points, then designs a scalable and secure framework aligned with your business goals.
A well-planned integration strategy can help:
- Improve data consistency across systems
- Reduce duplicate or disconnected data
- Give teams better access to trusted information
ETL Pipeline Development
Our ETL (Extract, Transform, Load) Pipeline Development service focuses on building reliable pipelines that move data from source systems into destinations such as data warehouses and data lakes.
We design pipeline architecture around your specific data transformation needs and implement the processes required to extract, transform, and load data efficiently.
For larger or more complex data environments, we can also use data management platforms to support orchestration and high-volume processing.
Well-designed ETL pipelines improve data quality and prepare information for reporting, analytics, and AI.
Real-time Data Processing
Real-time data processing allows organizations to analyze information as it is generated instead of waiting for scheduled updates.
SOLTECH can implement streaming solutions using technologies such as Amazon Kinesis Analytics and Azure Stream Analytics to process large volumes of data with minimal delay.
Real-time processing can be especially useful for:
- Monitoring operational activity as it happens
- Identifying issues or opportunities faster
- Supporting time-sensitive analytics and decisions
Data API Development & Integration
Our Data API Development & Integration services help systems and applications exchange data securely and efficiently.
We build custom APIs around your business requirements and integrate third-party APIs into existing systems. This can improve data access across platforms, automate information exchange, and make it easier to connect with external partners and services.
See how SOLTECH automated Rinnai’s Salesforce territory management.
Data Warehouse & Data Lake Implementation
Data warehouses and data lakes give organizations a centralized place to store and analyze large volumes of structured and unstructured data.
SOLTECH designs scalable, secure data architectures based on your business and technical requirements. We also implement, maintain, and optimize these environments as your data needs grow.
A centralized data environment can support:
- Business intelligence and reporting
- Advanced analytics
- AI and machine learning initiatives
- Long-term data growth and scalability
"The team at SOLTECH was incredibly responsive. They provided high levels of communication and achieved expectations."
Why Work With SOLTECH for Data Engineering & Integration?
Data engineering projects often require more than one technical discipline. SOLTECH brings together experience in software development, cloud platforms, data architecture, analytics, and AI to help organizations build solutions that work across the broader technology environment.
Our approach combines:
- Custom architecture based on your systems and goals
- Experience across cloud, software, data, and AI
- A focus on scalable solutions that can grow with your business
Data Integration & Workflow Automation in Action
Data Tech Stacks We Work With
Technologies are the tools we use to deliver great data & analytic solutions. Our team knows which technologies work best in each scenario, and work with you to balance the needs of your project with the long-term needs of your organization.
Cloud Platforms
Amazon Kinesis
Amazon Kinesis Data Streams
Amazon Kinesis Data Firehose
Amazon Kinesis Data Analytics
Amazon Managed Streaming
Databases & Warehouses
AWS Glue
Amazon OpenSearch Service
Amazon DynamoDB Streams
Azure Stream Analytics
Azure Event Hubs
Data Analytics & Integration
Azure Synapse Analytics
Azure Synapse Data Explorer
Azure Data Explorer (ADX)
Azure Event Grid
Azure HDInsight
