IS-14Service Line

Data Platforms

Structured enterprise data systems and real-time processing pipelines.

Overview

Modern data platform engineering. We construct database schemas, high-throughput real-time sync systems, data warehouses, and data lakes optimized for performance, scalability, and strict security controls.

Engineering Benefits

Sub-Second Query Speeds

Optimize index architecture, read-replicas, and query compilation to guarantee maximum page speeds.

Real-Time ETL Syncs

Process and synchronize large data sets across multiple applications in real-time using message queues.

Row-Level Security Controls

Enforce strict database access permissions (RLS) so users can only access authorized subsets of records.

Technology Profile

PostgreSQLKafkaClickHousedbtAirflowSupabase DB

System Pipeline

Decoupled transaction and analytics database architecture optimized for speed.

Real-Time Sync & Warehouse Pipeline

[1]Transaction Ingestion (Core app DB, PostgreSQL write logs)

[2]Change Data Capture (Debezium CDC streaming)

[3]Message Streaming Buffer (Apache Kafka / Redpanda Clusters)

[4]Transformation Pipeline (dbt batch processing and cleansing)

[5]Columnar Analytics Database (ClickHouse for fast reports)

[6]Data Presentation Layer (Connected dashboards, BI tools, APIs)

STATUS: COMPILEDIllustrative high-availability architecture

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Get in touch directly with our technology team to discuss custom integrations, scale capacity, model planning, and architecture objectives.

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