Brandon S. Clark — Proof Hub (Resume + Case Studies)

Milwaukee Tool (JEDI — Digital IoT Services Team) — Senior Software Engineer — Delivered a greenfield secure IoT device provisioning solution (Python CLI + supporting APIs) automating device registration, certificate generation, and secure bootstrapping aligned to AWS IoT Core + enterprise security standards; cut provisioning from ~10 min/manual to <1 min per device.

Implemented MQTT delta updates for constrained-device messaging, reducing payload size by ~40% overall and up to ~97% in an example (476B → 15B).

Integrated security-first patterns into provisioning workflows (AWS Secrets Manager + Auth0 credential handling + secure setup guidance) to enable scalable, multi-environment provisioning (dev/test/prod).

Served as the first implementer/pilot for the provisioning solution; surfaced systemic blockers (e.g., cloud governance permission constraints), partnered with governance/security to resolve them, and documented standards for future contributors.

Authored a comprehensive README.md for the DIoTS iot-testing repo / IoT provisioning tool (install steps, CLI examples, security guidance), reducing onboarding time for new engineers by an estimated ~30%.

Authored DIoTS service SLA definitions documentation and performed SLA gap identification, improving operational clarity and expectations.

Supported implementation of an SLA dashboard tracking three key metrics, enabling consistent measurement and incremental service improvement.

Built SR-Feedback-Workflow-V3 (Slack workflow automation for structured sprint-review feedback), secured cross-pod volunteer support, and validated stakeholder interest for broader adoption.

Designed and deployed an AI-assisted feedback collection + analytics pipeline using Slack Workflow forms + Microsoft Forms; enriched results via emotion detection; used Copilot/GenAI to produce an executive-style PDF report and Q4 2025 readout deck shared with leadership.

Iterated and delivered an “Intro to Slack Workflows” enablement session through multiple peer + cross-team dry runs, culminating in a refined delivery at Platform Cluster Sync.

Established a repeatable practice of short demo/how-to videos to unblock peers across tools/workflows/processes, converting tribal knowledge into reusable learning assets that reduce meeting dependency and accelerate onboarding/troubleshooting.

Created and demoed interactive documentation using Lucidchart advanced features (e.g., layered diagrams), improving clarity and influencing peers to adopt higher-quality visuals.

Delivered a “Memory Maps” technical presentation using creative PowerPoint animations to explain complex concepts (e.g., hex data parsing); received strong peer feedback and influence on presentation standards.

Presented to Cloud Center of Excellence stakeholders with clear visuals quantifying financial impact of reducing AWS CloudTrail usage, enabling informed cost-optimization decisions.

In sprint reviews, communicated delivered results using data-driven before/after visuals showing reduced errors and increased success rates, strengthening stakeholder trust through transparency.

Championed agile execution discipline by ensuring sprint retrospectives happened and advocating for explicit Definition of Done / “success looks like” criteria to reduce ambiguity and rework.

Initiated internal Technical Synchronization sessions to reduce knowledge silos on critical infra/security topics (AWS IoT Device Defender audit, AWSCC provider implications, Terraform multi-env/multi-region deployment mechanics).

Championed adoption of DiSC Profiles within the POD by creating/shareable enablement assets (template, PowerPoint, how-to video) and influencing leadership alignment—resulting in scheduled Q1 2026 implementation.

Represented JEDI/CPP & DIoTS in the Extreme Ownership Challenge by setting a time-bound goal, tracking progress, and reporting outcomes—reinforcing accountability and continuous improvement.

Operationalized innovation and GenAI adoption by running monthly AI-assisted communication reviews, participating in 2+ innovation sprints, sharing learnings, and automating repetitive tasks.

Milwaukee Tool (JEDI — Data Engineering Team) — Software Engineer II — Advanced the Tool Data Foundations Project by delivering a comprehensive tool-data tagging system and collaborating on QuickLink integrations with the EDA team.

Improved delivery execution and organization by leveraging GitHub to streamline task management and increase work clarity/trackability.

Incorporated peer feedback to improve design clarity, usability, and scalability of deliverables (as reflected in year-end feedback).

Exceeded expectations in partner-team enablement by refining documentation, improving support efficiency, and helping increase the rate of resolved partner feature requests.

Earned recognition for “One Team Mentality” through a collaborative and inclusive approach that strengthened team culture and cross-functional execution.

Built strong cross-functional relationships and was recognized as a trusted, positive-intent collaborator and enabler for partner teams.

Demonstrated proactive communication and problem-solving—addressed challenges effectively to maintain momentum toward shared objectives.

Received “Exceeds Expectations” manager ratings in key leadership behaviors, including Candid communication, One Team Mentality, and Build Collaborative Relationships.

Delivered consistently strong overall performance as a Software Engineer II (Meets Expectations overall), with standout strengths in operational improvements, partner enablement, and collaboration.

Milwaukee Tool (JEDI — Data Engineering Team) — Data Engineer II — Drove a risk-managed transition to stand up a new, more flexible tool-data-reads system in parallel with the legacy database, aiming to avoid disruption while ensuring old vs. new reads stayed in parity.

Completed a deep ramp-up on the tool data domain being transferred into ownership, building a foundation to support long-term customer needs and future improvements.

Researched and implemented a new database solution to store key data sets supporting the tool-data-reads modernization effort.

Defined an ETL-driven migration strategy to move historical tool data reads into the new database while preventing loss/corruption and maintaining consistency during transition.

Identified and planned use of Amazon SageMaker Studio Notebooks to streamline backfill scripts/processes and support consistent data migration validation.

Built extensive hands-on AWS DocumentDB experience through research, proof-of-concepts, and schema design for a JSON document-style data model.

Integrated AWS DocumentDB into existing tooldata APIs and workflows, expanding the platform’s data storage flexibility.

Transformed Terraform/IaC from a prior weakness into a strength; completed 2023 goal to improve understanding of Terraform and Terraform Modules (completed 12/27/2023).

Broadened data engineering capability (parsing, manipulation, storage) across multiple data systems, increasing readiness for higher-impact work.

Milwaukee Tool (ONE‑KEY Integrations / SPI) — Software Engineer II — Produced a formal Security Risk Assessment of Oracle authentication (Basic Auth), delivered as an executive-ready PowerPoint and supporting written report.

Built and demo’d an AWS Step Functions POC that retrieved items, extracted nested payload details, and generated environment-specific deep-link URLs; shared demo videos and earned peer recognition.

Implemented and verified a Step Functions state machine for Inventory Item Create with request validation; packaged definition files and execution examples for reuse.

Researched and delivered the first set of Inventory-model CRUD API endpoints using a serverless architecture (Lambda + Step Functions), laying groundwork for the API Gateway portion of the pipeline.

Produced a complete “reference pack” for the POC (Postman collections, repo map by step, CI/CD + environment references) and was directly thanked for consolidating it.

Enabled QA API automation by providing hands-on support and Postman guidance; recognized via direct shout-out email.

Developed and presented a reusable “Request Bus” pattern and introduced a complementary bus event pattern concept; called out explicitly in team shout-outs.

Improved troubleshooting effectiveness for the Procore transfer integration by adding targeted logging and deeper tracing; repeatedly recognized for fast debugging and increased visibility.

Created architecture diagrams and kicked off data-mart documentation, updating diagrams live during stakeholder calls to improve shared understanding of the solution being co-created.

Performed deep-dive research on connecting Swagger/OpenAPI/CodeGen into AWS (API Gateway/Lambda) and shared practical resources to enable future client SDK generation.

Jumped outside core responsibilities to assist PT4 in a time-boxed bug-fixing effort; ramped quickly in a new language/repo and resolved key Hydraulic Reports defects.

Created visual solution designs/diagrams for the best approach to export the Transfer Report to an external integration partner (high-level AWS flow + Visio).

Fixed a DynamoDB throughput failure (“configured provisioned throughput exceeded”) by updating Terraform table billing mode from PROVISIONED → PAY_PER_REQUEST, improving operational stability.

Refactored Transfer Report PDF deep-link implementation by separating business logic from HTML templates and moving logic server-side; made deep-link URL generation more dynamic.

Resolved a PDF not downloading issue caused by environment differences (staging base URL missing “/app/”) with a dynamic fix that works across test/stage/prod.

Investigated and resolved a Procore defect where the Transfer Report didn’t show in Procore’s Project Daily Log for unassigned tools, restoring expected integration behavior.

Built an end-to-end external API gateway POC using AWS API Gateway → Step Functions → multi-Lambda “Request Bus” pattern (filter/transform, validation, internal API calls, deep-link augmentation), returning results in seconds; expanded skills in Terraform, Jenkins, and VTL mapping templates.

Scaled team effectiveness by setting up teammates’ Postman environments (dynamic variables, Runner automation), sharing short how-to videos, and curating Confluence documentation/research spikes to reduce tribal knowledge.

Earned AWS Certified Solutions Architect – Associate (SAA‑C03) on 08/25/2022 (128 days early), received “Exceeds Expectations” for the goal, and proactively shared study resources with the broader ONE‑KEY engineering group.

Milwaukee Tool (ONE‑KEY Integrations) — Software Engineer II — Built and deployed Oracle Unifier “People” integration APIs (GET/POST) with a no-bugs release, outperforming comparable integrations that later had post-“done” defects.

Delivered end-to-end DTW PDF Report upload integration to Oracle Unifier, owning UI/UX front-end + back-end integration work; pushed through deployment in time for the next release cycle and earned “stepped up / Rockstar” recognition.

Owned integration requirements gathering and documentation, producing high-quality UI/UX + API docs and uncovering where/how to update Swagger/OpenAPI docs for integration APIs—then documenting the process.

Presented a live Oracle Unifier Integration demo to the entire ONE‑KEY department as the only software developer presenting, translating complex integration work into a clear cross-team narrative.

Produced a backup demo video (risk mitigation for outages) shared internally and sent to Oracle, improving stakeholder visibility and reducing delivery/demo risk.

Identified and clarified a security flaw/risk around linking integrator accounts; created a short demo video that made the issue easy to understand and faster to act on.

Improved agile execution by proposing to keep the Sprint Retro board open throughout the sprint, enabling continuous capture of ideas/issues instead of last-minute recollection.

Reduced “tribal knowledge” risk by creating Confluence pages establishing shared standards for documentation expectations, code-commenting best practices, and practical how-tos (e.g., Postman guidance).

Onboarded/mentored a new developer (environment setup + git/source control) and delivered detailed QA-ready test documentation (UI steps + Postman examples + screenshots), improving handoffs and reducing back-and-forth.

Discovered and shared a solution for the Autodesk BIM 360 integration account-linking error (“Need to Install ONE‑KEY App BIM 360 Error”), unblocking integration workflows for the team.

Foundation Finance — Developed and deployed a client-facing payment portal that processed ~250,000 payments totaling ~$85,000,000.

Integrated CI/CD pipelines using Bitbucket Pipelines to automatically build, run QA tests, and deploy web applications.

Assisted with the design and implementation of web applications hosted in AWS.

Collaborated with project managers to scope milestones, resource use, and delivery estimates; reported project progress to executives.

Led teams toward technical solutions and reinforced best practices for maintainable delivery.

Created internal coding standards (nomenclature, comment styling, API versioning, unit test script design).

Designed, developed, and implemented a role-based security model for end users.

Built custom SQL Server functions and stored procedures to support platform needs.

Researched machine learning approaches using JavaScript and Python to improve and automate work processes.

Delivered UI/UX web experiences using React.

Foundation Finance — Built an automated data-entry program (Java + MS SQL Server), saving 1,200+ human hours and ~$40,000.

Developed a new client portal from scratch using the MERN stack (MongoDB, Express, React, Node.js) with features such as dependency injection, driver’s license scanning, Passport-JWT authentication, and more.

Developed a client-facing payment portal using Node.js, Express, and SQL.

Researched and built proof-of-concepts prior to production adoption (ID scanning vendors, MongoDB tooling, MERN stack standardization).

Automated Active Directory administration via PowerShell scripts to extract user information and create new users with default parameters.

Implemented VisualCron Server and automated scheduled jobs to reduce manual work and improve operational consistency.

Implemented MongoDB Atlas Cloud for centralized data storage.

Created technical documentation for both IT and end users to improve clarity and onboarding.

Researched, vetted, selected, and implemented a 3rd-party identification scanning solution into the custom portal platform.

Aqua Finance — Promoted within four months for exceeding senior executive expectations.

Increased scope and responsibility by moving into full-stack development ownership.

Wrote new .NET software solutions supporting web-based dealer and consumer systems.

Developed Java Spring APIs and custom JSP login pages.

Expanded contributions across C#, JSP, Java, and Salesforce development areas.

Strengthened troubleshooting capability across internal systems and production issues.

Aqua Finance — Developed solutions in AFI’s proprietary software using Alaska Xbase++ and Express++.

Assisted with designing, deploying, and migrating to a new modernized environment.

Worked across enterprise tooling including SLES (Suse Linux Enterprise Server), Windows 10, GroupWise 2012, Advantage Database Server, and UNITRENDS backup software.

Delivered features using Xbase++, Express++, C#, and Java based on evolving business needs.

Documented releases through structured release notes, code comments, and user manual updates.

Applied accounting and finance concepts to implement solutions aligned to business rules.

Consistently introduced new ideas and reasoning into program code to improve outcomes.

Minnesota Attorney General’s Office — Supported and administered system applications used by the office and its attorneys.

Partnered with internal stakeholders to determine application needs and database design approaches.

Managed an office-wide retention project by applying retention policies to case dockets prior to purging.

Designed and implemented a custom MS Access global error handler to track database errors and increase team efficiency.

Worked across a wide variety of tools and languages including MS Office, Relativity, Regular Expressions, VBA, SQL Server/T‑SQL, Visual Studio, ASP.NET, HTML, and Python.

Performed database and application testing—from OS security patch verification through finalization tests prior to deployment.