Skip to content
Kevin Glugar
🇬🇧 EN🇸🇪 SV🇹🇭 TH🇨🇿 CS

Global Database
Engineering

I design and operate reliable, observable, and secure data systems—from schema to .

Discovery
Architecture
Implementation
Handover
Kevin Glugar - Database Engineer
Available for new projects
See selected work
Available for: data architecture, /, migrations, performance tuning, and reliability engineering.

Multicultural Database Engineering

Fluent in English, Swedish, Thai, and Czech—bringing technical expertise and cultural understanding to global teams.

🌍

Language Capabilities

English
Native-level technical communication
Swedish
Fluent professional communication
Thai
Native speaker, cultural context
Czech
Conversational, family heritage
🕐

Time Zone Advantage

Europe/Stockholm
CET+1 • Nordic business hours
Asia/Bangkok
UTC+7 • ASEAN coverage
Overlapping availability for global teams • Async-first workflow • 24h project momentum
🤝

Cultural Fluency

Nordic data privacy standards ()
Thai regulatory requirements ()
EU compliance frameworks
Cross-cultural team collaboration
No translation delays • Local business context • Regulatory expertise

Why Choose Kevin for Your Database Projects

Zero‑Downtime Migrations

Rollback plans and rehearsals ensure your business never stops running during critical database transitions.

Performance Optimization

Query plans analyzed, indexes audited, and slow paths removed to maximize your database efficiency.

End-to-End Observability

Complete monitoring with clear s and intelligent alerts so you know exactly what's happening.

Security-First Approach

Least‑privilege access, comprehensive audit trails, and encryption everywhere to protect your data.

5+
Years Experience
99.9%
Uptime Achieved
24/7
Support Available
Trusted by healthcare, finance & enterprise

Full‑Service Database Engineering

Engagements can be scoped as audits, implementations, or retained reliability engineering. Each comes with documentation, runbooks, and a clear handover.

Database Architecture

Designing relational schemas, data normalization, indexing strategy, partitioning, and high‑availability (read replicas, clustering).

PostgreMy/MariaDB ServerAurora

ETL & Data Pipelines

Building reliable batch/stream pipelines, , and data quality checks with versioned transformations and tests.

AirflowKafkaFivetran

Performance & Observability

Query tuning, plan analysis, vacuum/ANALYZE strategy, connection pooling, metrics, tracing, and alerting.

GrafanaPrometheus

Migrations & Automation

Zero‑downtime migrations, data backfills, environment promotion, infra-as-code, and rollout automation.

LiquibaseFlywayTerraformGitHub Actions

Security & Compliance

Role-based access control, secrets management, encryption at rest/in transit, audit trails, and minimization.

Vault

Full‑Service Delivery

From discovery and architecture to implementation, handover, and training—done with clear documentation.

RunbooksPlaybooksTraining

Plato Medical Migration (2005 → Modern SaaS)

Migrated a 20-year-old Electronic Medical Record () system for a multi-site medical center to a modern platform. Involved full data model redesign, multilingual patient data handling, compliance alignment, and zero-downtime cutover planning. Delivered with real-time role-based permissions and automated validation pipelines.

  • Operational from day-1 across all sites with 0 hours downtime
  • Complex medical dataset normalized, remediated, and validated
  • <250ms p95 latency for key queries after optimization
  • Automated daily data-quality checks and exception alerts
  • Coordinated cross-team project management and vendor negotiations

Dental Clinic Legacy Migration (1998 → Modern SaaS)

Migrated a multilingual, legacy system (1998 era) for a multi‑location dental group to a modern platform. Included complex data mapping, quality remediation, and cutover planning for 20+ dentists.

  • Operational day‑1 across multiple locations (20+ dentists)
  • Complex foreign‑language dataset normalized and validated
  • Minimal disruption: staged rehearsal and assisted go‑live
  • Handled project management and account coordination end‑to‑end

Email Operations & SLA Hub

Implemented shared‑inbox analytics and tagging with breach alerts. Reduced response times and improved triage accuracy.

  • 24‑hour SLA met 98% of the time
  • Clear escalation runbooks
  • Onboarding docs & training

Device Inventory & Telemetry

Single source of truth for connected devices with labeling, contact chains, and vendor references; added lightweight telemetry and alerts.

  • >95% asset coverage
  • Traceable service IDs
  • Faster incident resolution

Expertise Highlights

Complex legacy conversions, BigQuery excellence, and dataset forensics that make new systems possible.

1

Complex Legacy → Modern Data Stacks

Deep experience converting monolithic, undocumented databases into clean, relational models with versioned pipelines.

  • From spaghetti schemas to audited lineage
  • Backfills with checksums & idempotency
  • Zero‑downtime cutovers with rehearsal
2

BigQuery & Google Cloud Mastery

High‑performance analytics in BigQuery with partitioning, clustering, UDFs, and cost‑guardrails across GCP.

  • Materialized views & scheduled queries
  • Data governance with IAM & Policies
  • Observability with GCS + Cloud Monitoring
3

CSI for Datasets — New System Readiness

Forensics on chaotic data to unlock new systems. Where no one can, I can — deducing truth from messy inputs.

  • Profiling, anomaly detection, remediation
  • Mapping to destination contracts & SLAs
  • Proven playbooks for regulated domains

Tech Stack

The right tool for the job—favoring boring, proven tech for reliability and cost control, adopting new tools when they measurably reduce risk or latency.

PostgreSQLMySQLMariaDBMS SQLSQLiteRedisMongoDBdbtAirflowKafkaSparkPythonGoNode.jsTypeScriptDockerKubernetesTerraformGitHub ActionsGCPAWS

How I Deliver

  1. 1

    Discover

    Map objectives, constraints, data flows, and SLOs. Establish success criteria and risks.

  2. 2

    Design

    Schema, access, rollout plan, and observability. Dry‑run migration with rehearsal and rollback.

  3. 3

    Implement

    Infrastructure as code, CI/CD for database changes, backfills, and cutover execution.

  4. 4

    Operate

    Dashboards, alerting, runbooks, and weekly ops review with continuous tuning.

"Kevin absorbs complexity and returns clean systems. He's reliable under pressure and ships with documentation and guardrails."
— Giovanni van Dam, Founder & Operator
"Professional work ethic and truly reliable. Kevin communicates clearly, meets deadlines, and brings structure to complex projects. He made our data transition smooth and well‑documented. I would work with him again without hesitation."
— Yulia Y., Clinic Manager

Let's make your data reliable

Send a short brief, existing pain points, and any constraints. You'll get a pragmatic plan and a fast start.

Email Kevin

Typical response within 1 business day.

Start a project