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Data Engineering & Data Platforms

Azeosoft designs data platforms that ingest, process, enrich, govern and expose data through analytics, APIs and applications.

Data Engineering & Data Platforms engineering visual
Sources
Ingestion
Event Layer
Processing
Lake / Warehouse
Analytics
Applications

Engineering Depth

Capabilities applied across the system

Each engagement is shaped around architecture, security, testing, deployment and production operation rather than a single framework choice.

ETL and ELT
Batch, streaming and real-time ingestion
Event ingestion and CDC
Stream and batch processing
Telemetry pipelines
Data lakes, warehouses and lakehouses
Operational data stores
Time-series platforms
Data quality, lineage and governance
Data lifecycle architecture

Technology

Architecture-driven technology choices

Tools and platforms are selected for scalability, performance, maintainability, security and operational requirements.

KafkaKinesisRabbitMQSparkFlinkAirflowdbtBigQueryRedshift

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Have a system that needs to scale?

From the first architecture decision to production deployment and global scaling, Azeosoft Engineering can help design, build and operate the platform.