Senior DevOps Engineer · 13× AWS Certified
20+ years in IT across security, compliance, automation, and cloud at scale. Currently engineering AWS infrastructure and delivery pipelines at AUTOMAT-IT.
I'm a senior DevOps engineer with 20+ years of hands-on experience across security, compliance, automation, and cloud or on-premise infrastructure under high load.
My career began in banking IT — supporting critical financial systems at PrivatBank for over a decade, first as a technical support engineer, then as a security engineer responsible for PCI DSS compliance, penetration testing, and vulnerability management. From there I moved deeper into infrastructure as a data center engineer, administering large fleets of Linux, Unix, and Windows servers across hypervisors and on-prem hardware.
Today my focus is AWS. As a 13× AWS-certified professional, I design cloud architectures, migrate workloads to containers and Kubernetes (EKS), build CI/CD pipelines, and deliver Databricks-based data platforms. The thread running through it all: making systems faster, safer, and cheaper to run.
Bringing generative AI and applied AWS AI services into production workloads — from foundation-model integrations through Amazon Bedrock to packaged services for vision, language, and document understanding.
Cloud-native delivery
Transitioning standalone applications to containers and Kubernetes (EKS) at scale. Building GitOps-driven release flows, designing cluster topology, and shipping microservices that survive production traffic.
The GitOps and observability stack that makes Kubernetes production-ready.
GitOps continuous delivery for Kubernetes
Declarative GitOps controller that keeps Kubernetes cluster state in sync with Git. Manages multi-environment rollouts, application health, drift detection, and sync waves — turning deployments into auditable, repeatable, Git-driven workflows.
Unified observability dashboards
The observability layer that ties Kubernetes operations together — visualizing metrics from Prometheus, logs from Loki and ELK, and traces from OpenTelemetry. Custom dashboards, alerting, and SLO tracking that make cluster behavior legible at a glance.
Designing and operating AWS infrastructure of varying complexity — from foundational networking and compute through every specialty domain: databases, advanced networking, security, analytics, and machine learning. The full AWS certification stack, applied to real production workloads.
From foundational fluency to deep Specialty knowledge — every credential, and what it validates.
Broad understanding of AWS Cloud — services, pricing, billing, the shared responsibility model, and core security concepts.
AWS AI and ML fundamentals, generative AI on Amazon Bedrock, responsible AI practices, and applied AWS AI services.
Designing resilient, performant, and cost-optimized distributed systems on AWS using well-architected principles.
Deploying, managing, and operating AWS workloads — monitoring, automation, networking, security, and high availability.
Building, deploying, and debugging AWS applications with SDKs, CI/CD, serverless, and the core developer tooling.
Designing data pipelines and orchestrating ingestion, transformation, and storage across AWS data services.
Implementing continuous delivery, automation, monitoring, logging, and incident response at scale on AWS.
Architecting complex, multi-account enterprise solutions with advanced migration, cost, and operational strategies.
Selecting, designing, and operating purpose-built AWS databases — relational, NoSQL, graph, time-series, ledger, and warehouse.
Designing complex hybrid and multi-account AWS network architectures at scale with deep VPC and routing expertise.
Securing AWS workloads end-to-end — data classification, encryption, IAM, threat detection, and incident response.
Designing and operating AWS analytics solutions — ingestion, storage, processing, visualization, and security.
Designing, training, tuning, and deploying production ML workloads on AWS with SageMaker and the broader ML stack.
Established Databricks infrastructure on AWS supporting warehouse-based ETL pipelines. Built large-scale migration pipelines from AWS RDS Oracle to Redshift using Glue and DMS. Backed by both the AWS Data Engineer and Data Analytics Specialty credentials.
AWS Certified Machine Learning – Specialty. Designing the infrastructure that makes ML possible at scale: training pipelines, feature stores, model deployment, monitoring, and the data plumbing underneath. Bridging DevOps discipline with the lifecycle that data scientists actually need.
I help nonprofits reduce IT costs, improve data security, and migrate critical systems to AWS — using the AWS Nonprofit Credit Program to make modernization actually affordable.
Up to $5,000 USD in AWS promotional credits, plus additional grant programs for Canadian organizations. I help eligible nonprofits apply, structure usage, and turn credits into working production infrastructure — not idle resources.
Entry-level engagement
Review of current website, CRM, file storage, and databases. Risk assessment, AWS cost estimate, and a migration roadmap you can actually act on.
Modernize what you have
Move WordPress sites, donor portals, member portals, and internal apps onto AWS. Lower hosting cost, better uptime, automatic backups.
Protect what you can't lose
Google Workspace and Microsoft 365 backups, S3 Glacier archives, a written DR plan, and monthly restore testing so you know it actually works.
For donor & client data
IAM setup, MFA, audit logging, encryption, least-privilege access, incident response checklist, and a privacy compliance baseline — built for organizations handling sensitive personal data.
Don't leave money on the table
Eligibility review, application preparation, and a credit-usage plan so AWS promotional credits go toward the work that matters — not toward idle resources.
Out of spreadsheets
Migrate from Excel and Access into DonorPerfect, Salesforce Nonprofit Cloud, or HubSpot. Integrate with your website, build reporting dashboards, host the supporting database and API on AWS.
Buy back staff time
AI chatbots for client intake, automated form processing, grant-writing assistance, donor segmentation, volunteer matching, and internal policy document search. Sold as hours saved, not as "AI".
The full stack of services as one bundled engagement — designed to land alongside AWS nonprofit credits so the upfront cost actually disappears.
Let's talk about your organizationFrom bank technical support in 2005 to cloud and DevOps leadership today — nearly two decades of compounding hands-on experience.
Foundational engineering credentials earned earlier in my career — still informing every cloud architecture decision today.
Whether you need an extra pair of senior hands on an AWS migration, a DevOps maturity review, or just want to talk cloud architecture — I'd be happy to hear from you.