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Matthew McKinney

Certified

Professional Services Consultant

Clinisys

Technologies

My Portfolio Highlights

My New Certification

AI Engineer for Data Scientists Associate

My New Certification

Data Analyst Associate

My New Certification

Data Engineer

My New Certification

AI Engineer for Data Scientists Associate

Insights astronaut, venturing into the unknown realms of data exploration.

My Work

Take a look at my latest work.

certification

AI Engineer for Data Scientists Associate

certification

Data Analyst Associate

certification

Data Engineer

certification

AI Engineer for Data Scientists Associate

My Certifications

These are the industry credentials that I’ve earned.

Data Analyst Associate

Data Analyst Associate

Data Engineer

Data Engineer

AI Engineer for Data Scientists Associate

AI Engineer for Data Scientists Associate

SQL Associate

SQL Associate

AI Fundamentals

AI Fundamentals

Data Literacy

Data Literacy

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Understanding Artificial Intelligence
Introduction to Data
Understanding Microsoft Azure
Data Literacy Case Study: Remote Working Analysis

My Work Experience

Where I've interned and worked during my career.

Clinisys | Mar 2025 - Present

Professional Services Consultant

As a Professional Services Consultant at Clinisys, I operate at the intersection of laboratory operations, data architecture, and modern software engineering to help public health, environmental, and clinical laboratories successfully implement, extend, and modernize the Clinisys Laboratory Solution (CLS). My role goes beyond traditional implementation work. I serve as a technical advisor, solution architect, and innovation lead, translating complex regulatory, scientific, and business requirements into scalable, maintainable system designs. I specialize in Electronic Data Deliverables (EDDs), reporting, integrations, and automation, working deeply across Oracle databases, PL/SQL, C#, .NET, Telerik Reporting, and CLS APIs. I design and build end-to-end data pipelines that move laboratory data from raw results through validation, transformation, and final regulatory or client-ready outputs. A core focus of my work is AI-assisted development and automation. I have designed and implemented AI-driven workflows using GitHub Copilot and large language models to: Accelerate EDD and DataWriter development Enforce coding standards and repeatable patterns Perform automated code reviews and validation Reduce delivery time while improving quality and consistency These AI initiatives are not experimental side projects — they are production-oriented frameworks that standardize how teams generate PL/SQL, C# DataWriters, specifications, test harnesses, and documentation across multiple CLS implementations. I am also deeply involved in data governance and regulatory compliance, ensuring that mappings, validation rules, and reference data align with federal, state, and local requirements (e.g., SDWIS, CLIP, EPA-driven formats). My work frequently includes designing utility tables, metadata-driven mappings, and validation rule frameworks that allow laboratories to adapt to regulatory changes without constant re-engineering. Beyond hands-on development, I act as a mentor and technical leader within Professional Services and Reporting teams: Defining best practices and development standards Creating SOPs, onboarding guides, and reusable templates Supporting services teams during complex client escalations Bridging communication between developers, DBAs, consultants, and business stakeholders What distinguishes my role is a strong foundation in real-world laboratory operations, combined with modern software and AI capabilities. This allows me to design solutions that are not only technically sound, but practical, auditable, and aligned with how laboratories actually work. In short, I help Clinisys and its clients move faster, smarter, and more confidently by combining domain expertise, engineering rigor, and applied AI to modernize laboratory data workflows.
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ExxonMobil Research and Engineering | May 2021 - Mar 2025

Product Owner

As a Product Owner at ExxonMobil, I was responsible for the strategic direction, modernization, and operational stability of mission-critical Laboratory Information Management Systems (LIMS) supporting global R&D and laboratory operations. I owned the full product lifecycle for multiple laboratory applications—ranging from legacy desktop systems to modernized cloud-connected platforms—serving scientists, technicians, supervisors, and leadership across multiple research sites. My role required balancing regulatory compliance, scientific accuracy, operational efficiency, and long-term platform sustainability. A defining aspect of my work was leading a large-scale LIMS modernization initiative, transitioning a legacy desktop application toward a more scalable, service-oriented and cloud-aligned architecture. This included: Decommissioning legacy systems and managing controlled cutovers Coordinating multi-day database migrations with minimal business disruption Establishing read-only strategies, rollback plans, and communication frameworks Ensuring data integrity, auditability, and continuity of laboratory operations I worked deeply at the intersection of business process, data architecture, and technical delivery, translating laboratory workflows into system designs that reduced customization, eliminated duplication, and improved long-term maintainability. This included harmonizing test methods, master data, units of measure, and naming conventions across laboratories that historically operated in silos. In addition to product ownership, I acted as a hands-on technical partner to development and infrastructure teams. I regularly: Reviewed and validated database changes and integration impacts Coordinated API and ETL workflows across applications Performed functional and regression testing in the absence of a dedicated QA team Supported instrument integrations and automated data capture from laboratory equipment I also led and participated in data governance and master data initiatives, including serving as a fill-in chair and administrator for a global LIMS Master Data Management (MDM) governance council. In this capacity, I defined policies, access controls, quality checks, and risk documentation for shared laboratory data used across multiple R&D systems and sites. A key strength of my role was stakeholder leadership and change management. I worked directly with end users, power users, developers, architects, and leadership to: Establish and communicate product vision and priorities Resolve conflict between local laboratory needs and enterprise standards Build trust through transparency, backlog visibility, and consistent communication Create user communities and power-user groups to reduce resistance to change I was known for bringing a “lab-first” perspective to IT delivery—grounding decisions in real laboratory constraints while still pushing toward modernization, automation, and scalable design. This approach enabled successful adoption of new workflows and systems without disrupting critical research and safety operations. Ultimately, my role as a Product Owner at ExxonMobil was not just to manage a backlog, but to bridge science, data, and technology, ensuring that laboratory systems evolved in a way that supported both immediate operational needs and long-term enterprise strategy.

ExxonMobil Research and Engineering | Aug 2011 - Aug 2021

Lead/Senior Research Technician

As a Lead and Senior Research Technician, I served as a technical authority within ExxonMobil R&D laboratories, combining deep analytical expertise with hands-on automation, process engineering, and system-level thinking to modernize laboratory operations. My role extended far beyond routine testing. I was responsible for designing, optimizing, and scaling laboratory workflows, particularly in distillation, assay development, and work-up engineering, while simultaneously automating data flows and improving data quality across the lab. Distillation & Assay Leadership I was a key contributor to—and later a recognized leader within—the distillation laboratories, where I supported and engineered workflows for both routine and complex fractionation and assay work. This included: Executing and optimizing crude and specialty distillation assays across multiple distillation platforms Supporting pilot and research-scale distillation work tied to method development and product characterization Engineering work-up processes for distillation fractions, including sample handling, tracking, and downstream analytical readiness Troubleshooting distillation systems, methods, and data anomalies to ensure repeatability, accuracy, and defensibility Recognizing inefficiencies and variability in distillation workflows, I helped establish the lab as a Center of Excellence, standardizing procedures, data handling, and operational best practices across teams and sites. Work-Up Engineering & Process Design In addition to analytical execution, I functioned as a work-up engineer, designing and refining post-run workflows to ensure samples moved efficiently and correctly from distillation into downstream analytical pipelines. This included: Designing structured sample work-up processes to minimize rework, delays, and sample loss Coordinating logistics between distillation, analytical labs, and data systems Ensuring traceability of fractions, blends, and derived samples Engineering repeatable processes that balanced scientific rigor with operational efficiency These efforts directly reduced turnaround times and improved confidence in both experimental results and reporting outputs. Automation, Data Engineering, & System Development A defining aspect of my role was identifying opportunities to replace manual, error-prone workflows with automated solutions. I independently designed and implemented tools that transformed how laboratory data was captured, processed, and validated. My automation and development work included: Automating instrument data ingestion, parsing, and validation Replacing spreadsheet-driven calculations with scripted and application-based logic Automating complex assay calculations and specification checks Standardizing result structures, units of measure, and metadata to improve downstream usability Building reusable tools and templates adopted across laboratory teams These solutions dramatically reduced analyst workload, minimized transcription errors, and improved reproducibility. Technical Leadership & Knowledge Transfer As a senior member of the laboratory staff, I acted as a technical mentor and problem solver, supporting both junior technicians and experienced scientists. I was routinely consulted for: Complex method troubleshooting Data integrity and result validation questions Workflow design and optimization Training and onboarding of new staff I also served as a bridge between laboratory operations and IT, working closely with informatics and development teams to translate real laboratory needs into system enhancements—long before formally moving into product and software roles. Foundation for Product, Architecture, and AI Work This role laid the foundation for everything that followed in my career. It is where I developed: Deep, practical understanding of laboratory operations An instinct for automation and scalable design The ability to translate scientific workflows into engineered systems A mindset focused on continuous improvement, standardization, and data quality In practice, I was not just running distillations or assays—I was engineering better laboratory systems, building the bridge from bench science to modern digital platforms.

About Me

Seeking my next role at the intersection of data science, AI, and engineering. From lab to systems, I’m driven by learning, building, and turning complex data into meaningful outcomes.

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