25 years architecting systems that shipped. Now building with AI, not just about it.

2004 - 2006 (explicit early-career project evidence); self-assessed at Master level in the 2022 skills profile; confirmed current, hands-on use since October 2025 on the US federal government agency engagement — closing the gap the 2022 self-assessment implied but earlier project evidence didn't support.

Early career: data-loading automation (pricing file ingestion into Oracle) and operational monitoring/alerting scripts, as a scripting layer alongside larger Java/Oracle applications. Current (the US federal government agency, 2025-present): Python is now central rather than peripheral — reading and reverse-engineering a legacy Python codebase to recover undocumented behavior across all 10 in-scope applications, and (on the 2 applications that have reached implementation) working with Claude Code to modernize legacy Java/C++ code. The source resume's skills table rating (5-Master) is now backed by current, substantial evidence, not just early-career scripting and self-assessment.

• Automated data ingestion pipelines in Python to load multi-source pricing data into Oracle databases
• Built Python-based monitoring scripts to proactively detect and alert on system errors in a production government system
• Reverse-engineered poorly-documented, 20+-year-old legacy Python applications (using Claude Code) to determine correct modernization approach for a federal weather-data platform; led implementation of 2 legacy Java/C++ pilot applications with Claude Code's assistance

1999 - 2023 (core language across nearly the entire career per source resume)

Java has been the primary backend language across the majority of engagements over 25 years — from J2EE web applications (Servlets, JSP, EJB) in the early 2000s, through Spring/Hibernate-based enterprise applications, to REST API platforms (CXF, Apache Camel) at the Fortune 500 hospitality company and modern Spring Boot microservices. Deep, sustained experience spans full application lifecycle: architecture, design, build, integration, and testing.

• 25+ years of hands-on Java development spanning J2EE, Spring/Hibernate, and modern Spring Boot microservices architectures
• Built and led delivery of multiple Java-based REST API platforms (Apache CXF, Apache Camel) for Fortune 500 hospitality and retail clients
• Delivered enterprise-scale Java applications processing daily financial transactions for banking clients (the Global top-tier bank) with zero post-deployment defects on key enhancements

Node.js is rated at a high self-assessed proficiency level in the source resume's skills table (4-Expert), and the specialization section lists "JavaScript Back End Engineering" under "Building" (an area of active skill development, distinct from "Specialized"). No individual project description in the "PRIOR WORK EXPERIENCE" section explicitly names Node.js, so specific engagement evidence is currently TBD.

• TBD — pending project-level detail connecting specific Node.js work to a named engagement

1999 - 2023

JavaScript has been used consistently across the entire career, from early e-commerce and banking web application validation/display logic (1999-2004) through Ajax-based asynchronous UI work (2008) to modern full-stack development (2023). The professional summary lists JavaScript as a core strength alongside Java and Python.

• 25 years of JavaScript experience spanning early e-commerce/banking web validation logic through modern full-stack Agile development
• Designed and implemented an Ajax-based asynchronous UI feature for the Fortune 500 hospitality company's hotel search results, achieving client architect sign-off
• Delivered Java/JavaScript full-stack features under Test-Driven Development in Agile teams

2018 - 2019

Single documented engagement using Kotlin, building a function/event-driven microservices platform for a public transit client (the Provincial government transit agency).

• Built a function and event-driven microservice architecture platform in Kotlin for a public transit agency's fare payment system

2009 - 2023

Spring-family frameworks used across three distinct eras of the career: early Spring MVC/Webflow for a fraud detection web application (2009), Spring/Hibernate for a the Global media & market research company SOA custom application (2010-2011), and modern Spring Boot for cloud-native serverless microservices (2020).

• Led architecture design for a Spring MVC/Spring Webflow/Hibernate fraud detection web application, directing a 4-person development team
• Served as SOA architect for a Spring/Hibernate-based custom enterprise web application integrating TIBCO and Oracle
• Built Spring Boot microservices in a Dockerized, event-driven serverless platform

2016 - 2020, 2025 - Present (per projects citing AWS explicitly; source resume covers a 25+ year career overall)

Used AWS primarily for API architecture (API Gateway + Lambda), serverless application design, and standing up new cloud subscriptions/environments with supporting DevOps pipelines. Also supported AWS-hosted custom enterprise applications (Master Data Management, security, configuration) for a large energy-sector client. Currently leading a legacy-to-AWS modernization for a federal weather/environmental agency (the US federal government agency), the most senior/architecture-defining AWS engagement to date. Holds an AWS Certified Cloud Practitioner certification (2020).

• Architected serverless API platforms on AWS (API Gateway, Lambda) for large-scale digital transformation initiatives in the travel/hospitality sector
• Stood up new AWS subscriptions and DevOps tooling/pipelines to support mobile and serverless application delivery
• Supported AWS-hosted custom enterprise applications for Master Data Management, security, and configuration in the energy sector

2018 - 2023, 2025 - Present

DevOps/CI-CD practice has been a recurring thread from early automated build/deploy pipelines (ANT, Cruise Control) through modern CI/CD pipeline design and tuning on Java/JavaScript Agile teams, cloud subscription/pipeline stand-up, and containerized serverless deployment pipelines.

• Established and tuned CI/CD pipeline practices for a Java/JavaScript full-stack modernization initiative in an Agile/TDD environment
• Stood up DevOps tooling and pipelines supporting mobile and serverless application delivery on a new AWS subscription
• Pioneered early automated build/deploy pipelines (ANT-based, then Cruise Control continuous integration) decades before "DevOps" became standard terminology

2020 - 2023

Docker experience is documented on two engagements in the 2020-2023 period: hands-on production/development Docker usage in a Spring Boot serverless microservices platform, and a the Fortune 100 bank decisioning platform where Docker/CI/CD tooling was part of the desired skill set.

• Used Docker across production and development environments to containerize Spring Boot microservices as part of a serverless, event-driven platform
• Supported Docker-based CI/CD pipeline practices (alongside Jenkins) on a financial services decisioning microservices platform

2016 - 2020, 2025 - Present

Broad multi-cloud experience in two waves: 2016-2020 (most heavily AWS — API Gateway, Lambda, EC2, subscriptions/environment stand-up — plus a GCP-centric serverless/microservices engagement and a role explicitly scoped as "Cloud Platform Architect" spanning public, private, and hybrid cloud), and 2025-present (leading a legacy-to-AWS modernization for a federal agency, the most senior cloud-architecture-defining role to date). Holds an AWS Certified Cloud Practitioner certification (2020). The source resume's professional summary explicitly cites "cloud-native services (AWS, Azure)" as a core strength.

• Served as Cloud Platform Architect overseeing application architecture and deployment across public, private, and hybrid cloud environments, including cloud adoption planning and cloud management/monitoring
• Built cloud-native, serverless applications and API architectures on AWS (API Gateway, Lambda) and GCP (Cloud Functions, Apigee, Spanner) for clients spanning hospitality, energy, and life sciences
• AWS Certified Cloud Practitioner (2020)

2025 - Present

The source resume's skills table (2022) rated Kubernetes at 1-Beginner with zero supporting project evidence at the time. That gap is now closed: Kubernetes is one of the core components of the target-state architecture Russell defined for the US federal government agency legacy application modernization, used for container orchestration alongside AWS-native services.

• Architected a Kubernetes-based container orchestration layer as part of a legacy-to-AWS modernization for federal weather data-processing applications
• Defined a target-state architecture combining Kubernetes with AWS-native services (SNS, S3, EventBridge, EC2) for a mission-critical federal system modernization

2025 - Present

First documented Terraform evidence in the career history — used as the infrastructure-as-code tool for provisioning AWS infrastructure (SNS, S3, EventBridge, EC2, Kubernetes) during the US federal government agency legacy application modernization, alongside GitLab CI/CD.

• Used Terraform to provision AWS infrastructure for a legacy-to-cloud modernization of mission-critical federal weather data-processing applications

2001 - 2023 (architecture-titled roles begin around 2007 and continue through the most recent engagements)

Repeated engagement in enterprise-level architecture assessments, integration blueprints, and technology strategy across banking, pharma, insurance, retail, and technology clients. Frequently served as the technical lead defining target-state architecture, gap analysis versus current state, and architecture review board approval processes.

• Led enterprise architecture assessments and target-state technology strategy for Fortune 500 clients across banking, insurance, pharmaceuticals, and retail
• Defined and secured architecture review board approval for integration blueprints, reference architectures, and interface inventories supporting multi-system transformations
• Delivered technology architecture assessments using Accenture's New IT methodology

2013 - 2020

Extensive, sustained REST API leadership experience — repeatedly served as "API Lead/Architect" on the Fortune 500 hospitality company's multi-year REST API platform initiative (2013-2018), building custom Java REST services (CXF, Apache Camel) on top of legacy SOAP systems. Also defined cloud-native API architectures (AWS API Gateway + Lambda) for the Fortune 500 cruise line, and built REST APIs in Spring Boot microservice contexts more recently.

• Served as API Lead/Architect across five years of the Fortune 500 hospitality company's REST API platform initiative, building Java REST services (CXF, Apache Camel) on top of legacy SOAP systems and owning the hotel reservations booking API track
• Defined cloud-native REST API architectures using AWS API Gateway and Lambda for large-scale digital transformation initiatives
• Led and supervised teams of API developers through design, implementation, and testing of production REST APIs

2018 - 2023

Consistent microservices architecture experience over a ~5 year span, spanning function/event-driven platforms (Kotlin, the Provincial government transit agency), Spring Boot/Docker/Kafka-based serverless microservices (Accenture internal the Internal enterprise platform), a utility-sector microservices platform (the Fortune 500 utility company NOVA2), and a financial services decisioning microservices platform (the Fortune 100 bank).

• Designed and delivered a function/event-driven microservice architecture platform (Kotlin) for a public transit client
• Built Spring Boot/Docker microservices with Kafka/PubSub event sourcing and REST APIs in a serverless, cloud-native environment
• Reviewed and integrated functional, security, and operational requirements into the technical architecture of a multi-year microservices platform in the energy sector

2023 - 2025 (mid-engagement; superseded toward the end by a custom frontend — see Notes)

ServiceNow integration work on the US federal government agency engagement: making ArcGIS map data available for display within ServiceNow, as an intermediate step in the platform's evolution before the client requested a fully custom frontend map application in the engagement's final phase.

• Integrated ArcGIS geospatial data into ServiceNow to enable map display within the client's existing ITSM platform

2001 - 2025

Oracle has been a consistent relational database platform across nearly two decades of engagements, spanning direct persistence layers (Hibernate-mapped), multi-database data-loading pipelines, and PL/SQL stored-procedure-based enterprise applications.

• 15+ years of Oracle database experience spanning direct JDBC/Hibernate persistence layers, multi-database ETL/data-loading pipelines, and PL/SQL stored-procedure-based enterprise applications
• Supported custom Master Data Management, security, and configuration solutions built on .NET/SQL/Oracle PL-SQL for an energy-sector client

2023 - 2025

PostgreSQL is rated at the highest self-assessed proficiency level in the source resume's skills table (dated 2022), alongside Oracle — at the time that resume was generated, no project evidence supported the rating. That gap has since been closed directly by Russell: the US federal government agency engagement (2023-2025) is now a real, substantial PostgreSQL project — a full migration off a legacy Oracle system, a schema redesign for performance, and GIS-specific extension work via PostGIS integrated with ArcGIS Server.

• Led migration of a legacy Oracle land-unit database to PostgreSQL with PostGIS for the US federal government agency, redesigning the schema for performance
• Integrated a PostgreSQL/PostGIS database with ArcGIS Server, and later with a custom frontend application, as the system of record for recreation site management

2023 - 2025

The source resume's skills table (2022) lists "ArcGIS API" and "ESRI ArcGIS" at 2-Intermediate proficiency with zero supporting project evidence at the time. That gap is now closed by a substantial, multi-year hands-on engagement: configuring ArcGIS Enterprise, publishing map features, and integrating ArcGIS Server with both a modernized PostgreSQL/PostGIS backend and multiple consuming applications (ServiceNow, then a custom-built frontend).

• Configured ArcGIS Enterprise and ArcGIS Server, publishing map features for a federal land-management agency's recreation site management system
• Integrated ArcGIS with a redesigned PostgreSQL/PostGIS backend following a legacy Oracle migration
• Integrated ArcGIS map data into ServiceNow, then into a custom-built frontend application, as the platform's map-consumption layer evolved

2023 - 2025

PostGIS was the specific extension used to give the new PostgreSQL database (replacing a legacy Oracle system) the geospatial capability needed to store and serve the US federal government agency recreation site land-unit data, in conjunction with ArcGIS Server.

• Migrated a legacy Oracle geospatial database to PostgreSQL with PostGIS for a federal land-management agency, redesigning the schema for performance
• Used PostGIS as the geospatial storage layer integrated with ArcGIS Server for recreation site land-unit management

2025 - Present

Distinct from [[../accomplishments/ai]] (which tracks the source resume's claim of "AI/ML experimentation and deployment" — i.e., building/deploying machine learning models, still unsupported by any project evidence): this skill is about using AI coding agents as a development and analysis accelerant. Two different tools across two real engagements, with a clear step-up in sophistication: **GitHub Copilot** for an individually-driven frontend build (the US federal government agency, 2025), then **Claude Code** for a formalized, team-rolled-out framework spanning both analysis (single-agent, detailed prompting) and build (multi-agent workflows) phases (the US federal government agency, 2025-present) — plus the leadership dimension of establishing a reusable framework and rolling it out across a team, not just using the tool solo.

• Established a Claude-Code-based legacy system analysis framework and rolled it out to a 3-4 person team, enabling on-time delivery of a ~10-application architecture assessment within a compressed 3-month deadline
• Leading a 4-5 person team using Claude Code multi-agent workflows to build AWS/Kubernetes-based, Terraform-provisioned replacements for legacy federal weather data-processing applications
• Used GitHub Copilot to rapidly build and ship a proof-of-concept full-stack GIS frontend application in a compressed 2-3 month window, integrated with PostgreSQL/PostGIS and ArcGIS