Data Engineering, Integration & AI

From Raw Data to
Intelligent Decisions

Curated Miami designs and delivers modern data infrastructure — event streaming, integration pipelines, analytics platforms, and AI agents — across every major cloud.

Real-time
Event streaming pipelines
360° View
Unified data consolidation
AI-Native
Analytics agents & LLM-ready data
4 Clouds
AWS • GCP • Azure • OCI

Now offering AI-powered analytics agents — autonomous systems that monitor your data, surface insights, and answer business questions in natural language.

Learn more →
Platform expertise
Amazon Web Services
Google Cloud Platform
Microsoft Azure
Oracle Cloud Infrastructure
Data Engineering

The foundation that everything runs on

We architect and deliver the full data stack — from ingestion and integration through transformation and analytics — whatever cloud you run on.

01

Event Streaming & Real-Time Pipelines

High-throughput, low-latency architectures that capture events from every system the moment they happen — feeding both operational systems and AI agents in real time.

  • Pub/sub and event-driven architectures
  • Change data capture (CDC) from operational databases
  • Stream enrichment, filtering, and routing
  • Real-time alerting and monitoring
  • Kafka, Kinesis, Pub/Sub, and Event Hubs
02
AI-enhanced

Data Consolidation & Integration

Unified, governed data from every source — the clean, structured foundation that makes AI and analytics reliable rather than risky.

  • ETL/ELT pipeline engineering
  • API, database, and flat-file integrations
  • Master data management (MDM)
  • Data quality validation and lineage tracking
  • Lakehouse and data warehouse design
03
AI-enhanced

Business Analytics Infrastructure

Curated, analysis-ready datasets that power your BI tools today — and serve as the context layer for AI agents and language models tomorrow.

  • Data warehouse and semantic layer design
  • Longitudinal and multilevel data modeling
  • Power BI, Looker, Tableau, and Metabase
  • Executive dashboards and operational reporting
  • KPI frameworks and metrics definitions
04

Integration Architecture & Strategy

The integration strategy that aligns your technology with long-term goals — designed to support both today's reporting needs and tomorrow's AI capabilities.

  • Current-state architecture assessment
  • Integration roadmap and platform selection
  • Data mesh and domain-oriented design
  • Version-controlled, reproducible pipelines
  • Cloud migration and modernization planning
AI & Intelligent Agents

Put your data to work — automatically

We build AI-powered systems on top of your data infrastructure — autonomous agents, predictive models, and natural language interfaces that turn your warehouse into an active intelligence layer.

AI-Powered Analytics Agents

Autonomous agents that continuously monitor your data pipelines, detect anomalies, and proactively surface insights — so your team is told what matters instead of having to find it.

  • Anomaly detection across KPIs and pipeline metrics
  • Natural language Q&A over your warehouse
  • Scheduled insight delivery to Slack, email, or Teams
  • Root-cause analysis on data deviations
FinanceRetailHealthcare

Predictive Analytics Pipelines

ML models embedded directly into your data infrastructure — predictions that flow into the same dashboards and systems your teams already use, automatically refreshed as new data arrives.

  • Churn prediction and customer lifetime value modeling
  • Fraud scoring and risk stratification
  • Demand forecasting and inventory optimization
  • Patient risk and clinical outcome modeling
HospitalityFinancialHealthcare

Natural Language to Data

Business users ask questions in plain English and get instant answers from your warehouse — no SQL, no ticket to the data team, no waiting. Built on your curated semantic layer.

  • Text-to-SQL query generation over your data models
  • BI copilots embedded in Power BI, Looker, and Tableau
  • Conversational dashboards for non-technical users
  • Powered by OpenAI, Anthropic, or open-source LLMs
All industries

Automated Data Quality & Observability Agents

AI agents that continuously validate your data — checking freshness, completeness, and consistency across pipelines — alerting before issues reach your dashboards or your stakeholders.

  • Automated schema drift and freshness monitoring
  • Statistical anomaly detection on row counts and values
  • Self-healing pipeline triggers on failure conditions
  • Data quality scoring and SLA reporting
EducationRetailFinance

LLM-Ready Data Infrastructure

We structure and serve your enterprise data as context for large language models — so AI products run on your proprietary knowledge, not just public training data.

  • Vector database design and embedding pipelines
  • Retrieval-augmented generation (RAG) architecture
  • Enterprise knowledge base construction
  • Fine-tuning data preparation and curation
All industries
How AI Fits In

AI runs on top of great data engineering

Every AI service we deliver is built on the same curated data foundation — which means your models are only as reliable as your pipelines.

01 — Foundation

Consolidated data

Clean, integrated, governed data from all your source systems — the non-negotiable starting point.

02 — Context

Semantic & vector layers

Business logic, definitions, and embeddings that let AI models understand what your data actually means.

03 — Intelligence

Models & agents

Predictive models, LLMs, and autonomous agents running continuously against your curated data.

04 — Action

Insights & automation

Answers, alerts, predictions, and automated decisions delivered to the people and systems that need them.

Cloud Platforms

Platform-agnostic, deeply experienced

We work with the platform that's right for your environment — and deploy AI services natively within whichever cloud you already run on.

AWS
Amazon Web Services
Streaming, storage & AI/ML
Kinesis Data StreamsMSK (Kafka)AWS GlueS3 Data LakeRedshiftSageMakerBedrockQuickSight
GCP
Google Cloud Platform
Big data & AI analytics
Pub/SubDataflowBigQueryVertex AICloud ComposerDataprocLookerGemini
AZR
Microsoft Azure
Enterprise integration & AI
Event HubsData FactoryMicrosoft FabricSynapse AnalyticsAzure OpenAIDatabricksPower BICopilot Studio
OCI
Oracle Cloud Infrastructure
Enterprise data & AI
OCI StreamingData IntegrationAutonomous DWOCI AI ServicesData FlowGoldenGateAnalytics Cloud
Industries We Serve

Domain expertise across key sectors

Data and AI challenges are industry-specific. We bring both technical depth and domain context to deliver solutions that fit your business — not just your tech stack.

Financial Services

Real-time fraud detection, regulatory reporting, AI-driven risk scoring, and unified client data.

Healthcare

HIPAA-compliant pipelines, patient data consolidation, clinical AI models, and outcomes analytics.

Education

Longitudinal student data, program analytics, AI-powered learning insights, and outcomes measurement.

Retail

Demand forecasting, AI-driven inventory optimization, customer analytics, and omnichannel integration.

Hospitality

Guest experience analytics, revenue management AI, loyalty program data, and operational reporting.

Our Approach

Structured delivery, lasting results

We move from discovery to production quickly — leaving behind systems your team can own, extend with AI, and build on.

01

Discover

Map your data landscape, sources, and AI readiness to define what needs to be built.

02

Design

Blueprint integration patterns, data models, and AI architecture for your context.

03

Build

Deliver production-grade pipelines, models, and agents — tested and version-controlled.

04

Validate

End-to-end testing and stakeholder review before anything goes into production.

05

Enable

Documentation, training, and managed services so your team owns it long-term.

Let’s talk about your data and AI goals

Whether you’re modernizing your data stack or ready to deploy AI agents, we can help design the right solution.

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Or email us directly at curatedmiamidataengineering@gmail.com