Data Engineering & Integration
If your data is scattered, disconnected, or hard to trust — it’s time to turn it into a unified foundation for analytics and action.
Why Our Data Engineering & Integration Service?
Because modern businesses run on data — and that data must be fast, accurate, and connected.
Zat Systems’ Data Engineering & Integration service builds robust pipelines that unify data from across your systems, ensuring it’s clean, trusted, and ready for analysis, or automation. We work with the latest technologies to turn complex architectures into seamless, scalable solutions tailored to your goals.
- End-to-end pipeline development
- Multi-source data integration
- Built-in data quality enforcement
- Scalable and high-performance architecture
- Real-time data processing
- Cloud-native and hybrid support
- Modular, future-ready design
- Integration with BI and automation tools
Data Engineering & Integration Services
Streamlined Data Pipelines for Seamless Integration and Trusted Analytics
Unify and transform your data with expertly engineered pipelines. Whether you’re connecting siloed systems, enabling real-time data flow, or building a foundation for analytics, our solutions ensure scalability, accuracy, and efficiency across your entire data ecosystem.
ETL/ELT Pipeline Engineering
Batch data processing using Airflow, Glue, ADF, Talend, Dataflow
Real-Time Data Streaming & Processing
High-throughput architectures using Kafka, Flink, Spark Streaming
API & Application Integration
Integrations with SaaS, ERP (SAP, Oracle), CRM (Salesforce), and custom systems
Pricing
We offer competitive and transparent pricing for our SQL Development Services.
Hourly
Plan-
Best for small tasks or quick consultations.
Daily
Plan-
Ideal for full-day consultations or focused work.
Weekly
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Great for extended and larger projects.
Monthly
Plan-
Perfect for long-term projects, dedicated support.
Learn More
Our service includes building robust data pipelines, integrating data across multiple sources, automating data workflows, and ensuring the data is clean, consistent, and analytics-ready. We work with both batch and real-time data using modern tools and platforms.
We use leading tools like Apache Airflow, Kafka, Spark, dbt, AWS Glue, Azure Data Factory, Google Dataflow, and more — depending on your tech stack, performance needs, and scalability requirements.
Yes. We help modernize and migrate legacy ETL workflows to cloud-native environments using services from AWS, Azure, or GCP, ensuring minimal disruption, maximum performance, and cost optimization.
Yes, we implement real-time architectures using platforms like Apache Kafka, Apache Flink, and Spark Streaming to support use cases like fraud detection, personalization, and IoT analytics.
We embed data quality checks into the pipeline using tools like Great Expectations and Soda. We also monitor schema changes, data freshness, and lineage to maintain trust in the data.
What's Next?
Schedule
Browse our calendar below and select an available time slot that works for you.
Discuss
We’ll get on a call, look for low-hanging fruit, address your pain points, and see if we can help.
Analyze
We’ll send you a data analysis tool to run on your server to help us assess your situation.