Data Orchestration

Data Pipelines for Scalable AI Systems

CodeEvaAI engineers production-grade data infrastructure that powers real-time AI models. We transform raw data into structured, actionable intelligence with zero-loss reliability.

50k+
events/sec
<100ms
risk scoring
0-loss
reliability
Data pipeline architecture for finance and healthcare workloads
Operational Impact

Proven Pipeline Architectures

Specialized data systems designed for enterprise workloads, high availability, and data integrity.

Finance

Real-Time Fraud Detection Pipeline

Challenge

Processing 50k+ transactions per second with sub-100ms latency for live risk scoring.

Approach

Streaming architecture using Kafka and Flink for event-driven processing and feature extraction.

KafkaFlinkRedisgRPC
Healthcare

Multi-Modal Patient Data Ingestion

Challenge

Aggregating EHR, imaging, and IoT wearable signals into an AI-ready format.

Approach

Hybrid ETL/ELT pipelines with schema mapping and encrypted data movement.

AirflowSparkHL7/FHIRS3
End-to-End Data Engineering

Build the full data flow, not just one connector

From source discovery to streaming, cleaning, integration, and API delivery, our pipelines are designed to keep AI systems fed with trusted data.

End-to-end data engineering and pipeline development process

Data Ingestion Systems

Automated connectors for databases, APIs, sensors, and event feeds.

Zero-loss ingestion at scale.

ETL/ELT Pipelines

Transformation logic for batch, micro-batch, and warehouse workloads.

Structured data for AI readiness.

Real-Time Streaming

Low-latency streams for event-driven AI applications and monitoring.

Sub-second decision latency.

Transformation & Cleaning

Validation, deduplication, normalization, and schema checks.

High-fidelity training datasets.

Data Integration Systems

Connect data silos into unified business and model-serving architecture.

Single source of truth.

Data Delivery & APIs

High-performance serving layers for models, dashboards, and apps.

Reliable model inference.
How CodeEvaAI Builds Pipelines

From audit to sustained efficiency

01

Data Source Analysis

We audit data structures, velocity, quality, ownership, and downstream AI needs.

Outcome
Comprehensive Data Audit
02

Pipeline Design

We architect modular flows for scale, replayability, observability, and fault tolerance.

Outcome
Technical Blueprint
03

Implementation

We build the ingestion, processing, storage, and API delivery layers around your systems.

Outcome
Active Data Flow
04

Optimization

We tune throughput, cost, monitoring, retry policy, and data reliability over time.

Outcome
Sustained Efficiency
Data pipeline technology stack and industry solutions
The Stack We Trust

Production tools for real workloads

Streaming
KafkaFlinkRabbitMQ
Orchestration
AirflowPrefectDagster
Processing
SparkPythondbt
Cloud
AWSAzureGCP
Storage
SnowflakePostgreSQLS3
Monitoring
PrometheusGrafanaDatadog

Industries

Sector-specific pipelines for regulated and operationally complex environments.

Healthcare

Specialized data pipelines designed for the regulatory and operational demands of the healthcare sector.

Finance

Specialized data pipelines designed for the regulatory and operational demands of the finance sector.

Logistics

Specialized data pipelines designed for the regulatory and operational demands of the logistics sector.

Manufacturing

Specialized data pipelines designed for the regulatory and operational demands of the manufacturing sector.

Retail

Specialized data pipelines designed for the regulatory and operational demands of the retail sector.

Smart Infrastructure

Specialized data pipelines designed for the regulatory and operational demands of the smart infrastructure sector.

Complete data pipeline system overview with sources, ingestion, processing, storage, AI models, and business intelligence

Power Your AI Systems With Reliable Data Pipelines

Stop struggling with fragmented data. Build a unified, high-performance pipeline architecture with CodeEvaAI.

Initiate Pipeline Setup