Production infrastructure
Platforms that support analytics, financial reporting, operational decisions, and AI applications with traceable source data.
Kevin Damato, Senior Data Engineer
01 Profile
10+ yearsProduction data and AI systems, built to last.
I am a Senior Data Engineer working across architecture, implementation, deployment, and long-term operation in demanding production environments.
- Based
- Seoul
- Scope
- International
- Focus
- Data / AI
Architecture with delivery ownership
System design, implementation, observability, performance, cost, and reliable operation stay part of the same engineering decision.
Engineering across industries
Medical AI, property intelligence, distributed energy, international development, social data, and core banking.
02 Experience
2014 to presentRoles and operating context.
Currently at ADIA Health, following engineering roles across five additional industries.
Current
ADIA Health
Senior Data Engineer
Role details +
Designing data and AI infrastructure for medical knowledge, clinical workflows, production agents, financial reporting, and healthcare coverage systems.
Previous
REalyse
Senior Data Engineer
Role details +
Built AWS property and geospatial pipelines for data growing by approximately 200 GB each week, reduced model training from 14 days to 5 days, and eliminated approximately $11K in monthly infrastructure spend.
Previous
Easy Solar
Senior Data Engineer
Role details +
Delivered BigQuery, Snowflake, dbt, Airflow, and Terraform systems for transactional, CRM, geospatial, and reporting workloads while reducing infrastructure costs by 20%.
Previous
The World Bank
Data Engineer
Role details +
Worked in data engineering within an international development environment.
Previous
DigitalMR
Software Engineer
Role details +
Built NLP and Spark systems for social data and reduced API collection time from 3 days to 1 hour.
Previous
Universal Software House
Software Engineer
Role details +
Developed financial services and REST APIs for core banking systems serving mid-sized banks.
03 Projects
Representative systemsSystems delivered in production.
A cross-section of platform, AI, automation, and machine learning infrastructure.
Healthcare knowledge
Clinical knowledge graph
Versioned medical graph supporting retrieval, recommendations, coverage analysis, care-gap detection, explainability, and cross-project search.
Agent infrastructure
PHI-safe data team
Six specialized agents connected to operational tools, warehouse data, ontology data, and terminology APIs through controlled read-only access.
Warehouse architecture
Cross-database refresh fabric
Versioned snapshots and atomic publication across 10 synchronized databases provide a stable raw-data contract.
Automation
Annual ICD-10 update pipeline
A containerized AWS workflow classifies approximately 72K codes and reduces manual review from days to hours.
Data at scale
Property and geospatial platform
AWS and Spark pipelines built for diverse source formats and datasets growing by approximately 200 GB each week.
Machine learning operations
Training workflow automation
Automated execution and platform tuning reduced a model training cycle from 14 days to 5 days.
04 Technology
Technical stackTools for production data and AI systems.
A practical stack spanning data platforms, cloud infrastructure, automation, and applied AI.
Data engineering
Pipelines, warehouses, and models
ETL / ELT, Spark, Airflow, dbt, BigQuery, Snowflake, PostgreSQL, validation, and observability.
AI systems
Infrastructure for production AI
LLM ingestion, multi-agent systems, knowledge graphs, retrieval, prompt guardrails, and agent-readable contracts.
Cloud delivery
AWS and GCP
Glue, ECS Fargate, Step Functions, EventBridge, Lambda, S3, RDS, DynamoDB, and BigQuery.
Infrastructure
Repeatable production operations
Docker, Terraform, CloudFormation, GitHub Actions, CI/CD, monitoring, and secrets management.
Healthcare data
Terminologies and interoperability
ICD-10-CM, CPT, HCPCS, LOINC, SNOMED CT, RxNorm, NPI, FHIR R4, X12, UMLS, and CMS coverage data.
05 Services
Advisory / deliveryFocused support for production data and AI systems.
For organizations building, scaling, modernizing, or repairing important technical infrastructure.
Data platform design
Warehouses, lake-based platforms, domain models, orchestration, observability, and reliable data contracts.
AI-ready data foundations
Knowledge graphs, retrieval pipelines, governed agent access, and source infrastructure for production AI.
Performance and cost review
Diagnosis of expensive, slow, or fragile workloads followed by practical remediation and measurable improvements.
Platform modernization
Migration, containerization, workflow automation, testing, and production hardening for existing systems.
06 Contact
DirectStart with the system, constraint, or outcome.
For consulting, architecture reviews, or senior data engineering engagements, send a short overview. I will respond directly.
Discuss a project [email protected] ↗- Based
- Seoul
- Engagements
- International / remote
- Focus
- Architecture / implementation