Christopher Sparks Email & Phone Number

Basking Ridge, NJ, US

• Refactored a Python/Django/FastAPI microservice for remote cell site configuration, eliminating RabbitMQ and Celery dependencies to simplify deployments and enhance maintainability.
• Leveraged asynchronous Python network I/O to enable real-time configurations for 15-80 devices simultaneously.
• Enhanced a Python-based data quality tool for field technicians using XLSXWriter and Pydantic, generating self-validating MS Excel workbooks to ensure schema compliance.
• Developed a NodeJS Adapter Microservice with Express and a React front-end, integrating vendor platforms to eliminate a 6-8 month, 4-developer project.
• Modernized CI/CD pipelines by migrating to GitLab CI and integrating Jenkins with Blue Ocean, automating deployments and improving delivery workflows.
• Established Infrastructure-as-Code (IaC) pipelines with Docker, Groovy scripts, and Ansible, introducing semantic versioning and reducing deployment risks.

As a direct result of Hurricane Ian in Florida, I put my job search on hold to help elderly parents recover from extensive damage to their assets and disruption to both their lives and their finances.

Sydney, NSW, AU

• Designed and implemented the USA development team interview process, conducting technical interviews and fostering team cohesion through collaborative input
• Identified knowledge gaps between US and AU teams, facilitating knowledge transfer via lecture series, working sessions, and lunch-and-learns to resolve integration challenges
• Led the US team as Technical Lead, performing Python codebase/system discovery and collaborating with AU engineers to complete initial tasks and develop discussion frameworks
• Enhanced a Django-based oncology portal with custom ReactJS components and maintained Cypress unit tests to ensure UI reliability and consistency
• Maintained and optimized the GraphQL API using the Python Graphene library, representing custom domain objects and improving domain-specific queries
• Implemented Redis for key-value caching and PubSub functionality, utilizing Change-Data-Capture (CDC) to synchronize the MS SQL-based EMR with PostgreSQL and the Celery Task Runner to publish events to Redis streams

Plantation, Florida, US

• Documented, improved, and maintained a Docker-based architecture for AR/VR testing, managing cluster deployments with Rancher, Kubernetes, and Docker
• Streamlined deployment and promotion processes using Gerrit, Jenkins, and Artifactory, enhancing system efficiency and reliability
• Migrated Infrastructure-as-Code (IaC) workflows from Ansible to AWS CloudFormation and GitHub Actions, optimizing Docker images with multi-stage builds for reusable deployments
• Automated CI/CD pipelines for tools such as Docker, Jenkins, and Rancher, improving deployment consistency and reducing manual effort
• Developed local development environments using Docker Compose, replacing staging environments and improving developer productivity
• Conducted peer code reviews with Gerrit, standardizing the codebase by converting Bash scripts to Python for better maintainability and scalability

Moline, IL, US

• Designed and implemented an interactive WebGL "Agronomic Data Mapping Tool" for visualizing farm metrics over satellite snapshots, integrating sensor data, atmospheric data, and IoT farm data using a modern technology.
• Processed datasets larger than 50GB directly in-browser with GPU computation and transitioned from static offline Python visualizations to interactive online WebGL visualizations.
• Conducted market analysis and competitor reviews to guide architecture and developed a JupyterLab extension to export visualizations, integrating Python and Javascript workflows seamlessly.
• Delivered GPU-optimized field-data visualization web app, reducing processing from ~3 minutes per static visualization to instant real-time, customizable visualizations
• Enhanced Data Scientist workflows by developing Jupyter extension to enable output of React / WebGL interactive widgets alongside traditional matplotlib outputs
• Drastically enhanced end-user experience by removing dependency on internal data scientists, empowering them to derive custom insights from their own data

Atlanta, Georgia, US

• Developed unit testing and regression testing suites for a big data ingestion and transformation pipeline, improving data quality and reducing Change-Test-Verify Time by over 140%
• Refactored heavily-used Python/PySpark modules via method decomposition, creating reusable test cases and providing a development blueprint for less experienced engineers
• Implemented a regression test suite to validate changes to the Python codebase, ensuring consistent results during ETL pipeline refactoring
• Automated artifact generation for Hadoop, Spark, and AWS Data Pipeline, dynamically creating AWS JSON definitions, Apache Sqoop Bash-wrapped invocations, Hive HQL DDL table definitions, and AWS job configuration files
• Transformed source data for compatibility with Multidimensional OLAP Cubes using custom Python scripts tailored for the Enterprise Data Warehouse
• Reduced testing and validation times by 140%, streamlining developer workflows and expediting the release process

Raleigh, NC, US

• Guided machine learning platform selection by creating evaluation rubrics for the Business Intelligence Team and Data Science Working Group, consulting with stakeholders to define data science requirements and scope.
• Documented ad hoc infrastructure and business processes, authoring a comprehensive "Discovery Document" to facilitate gap analysis between current and desired capabilities.
• Developed an AWS infrastructure strategy to support enterprise data science practices, ensuring scalability for current and future workflows while designing architectures for the"productionization" of data science.
• Defined a "Pathway to Production" for data science models and ETL pipelines, integrating AWS infrastructure, automation tools, business processes, and programming best practices.
• Identified and defined proprietary semantic datasets by manually discovering IT artifacts and conducting structured stakeholder interviews to enrich dataset definitions.
• Ensured GDPR compliance for a multi-tenant machine learning platform by developing security architectures, data usage policies, and anonymization strategies for P.I.I. in ETL pipelines.

Charlotte, North Carolina, US

• Developed an Auditing/Compliance application per NIST 800-37 for DoD and FedRAMP, reviewing over 60 NIST Special Publications and mapping ISO 27001/27002 relationships to FedRAMP, FINRA, and HIPAA to authorize the AWS.
• Designed a data model compliant with ISO 27001/27002, incorporating OMB Circulars, DoD Directives, and Security Control Overlays, ensuring support for HIPAA through extensive research.
• Built a Python ETL pipeline to scrape GSA Per Diem rates, process NIST 800-53 metadata, and integrate DISA manual checklists in XCCDF format to maintain ecosystem data freshness.
• Authored a Development Roadmap and Migration Plan from legacy Python, leveraging Django, PyLint, and custom libraries for static/dynamic analysis, isolating complex logic for iterative refactoring, and creating a.
• Architected a minimalist front-end stack using jQuery, Backbone, Materialize, SASS, and Webpack, providing a comparative analysis of React and Angular alternatives.
• Developed a Python REST API adhering to HTTP standards, enabling ecosystem interoperability through Django middleware for presenting hierarchical data in multiple formats (JSON, XML, and CSV).

Cary, NC, US

• Developed a Python "Open-Stack" Analytics Platform for a DoD/DHS big data initiative, enabling early detection of disease outbreaks by leveraging Python 2.7, scikit-learn, NumPy, and Pandas
• Created a versioned record data store integrated into Talend ETL workflows, supporting syndrome vector analyses with INI-based configuration parsing
• Customized an IPython/RStudio Server grid roll-out for a legal analytics firm, enabling distributed execution via Platform LSF and Python-based grid resource stress tests using k-means clustering
• Performed SAS Enterprise Case Management (ECM) platform customizations, delivering Javascript solutions with the Dojo framework and DWR for server communication, and training over 20 employees
• Designed a stand-alone Python 3.4-based Data Drill-Down component, utilizing a stack including Backbone.js, Bootstrap 3, jQuery, and SQLAlchemy ORM for compatibility across Oracle, PostgreSQL, MySQL, and SQLite
• Delivered an analytics platform supporting DHS's disease outbreak management initiative, improving resource allocation efficiency

• Rebuilt the in-house data analytics platform by analyzing legacy Perl code and rewriting it in PHP, resolving inconsistencies through refactoring, dynamic introspection, and regression testing
• Conducted requirements discovery and vendor evaluations, assessing Pentaho and QlikView for cost-effectiveness, and developed interview questionnaires to gather data usage insights from the Medical Content Team
• Designed a hybrid PRD/FRD project solution using a custom OLAP Cube and ETL toolset, applying Kimball methodology for dimensional modeling
• Transitioned graphing capabilities from Rafael JS to a Highcharts/D3 hybrid, leading reconciliation tasks and cross-referencing metrics with Google Universal Analytics
• Built a REST API and front-end visualization system using Python, Javascript, HTML5, CSS3, and JSON to expose dimensional data insights
• Refactored simulation software by converting it from stateful to stateless for dynamic data polling, utilizing PHPUnit for testing

Raleigh, NC, US

• Designed and implemented an enterprise-wide Single Sign-On (SSO) solution using SAML 2.0 within a J2EE ecosystem, collaborating with stakeholders to integrate internal and external systems
• Authored the enterprise data model definition, aligning SSO infrastructure with systems like the intranet, Customer Portal, and Subscription Network
• Conducted an in-depth analysis of the JBoss AS core codebase, ensuring compatibility with SSO vendor platform architecture and Red Hat middleware (e.g., ESB)
• Enhanced the Drupal 6 intranet platform by developing wildcard search, hierarchical traversal, and profile extensions for the "Staff Roster" application
• Designed a web-based real-time chat prototype using Jabber to evaluate enterprise collaboration platforms and technologies
• Improved security and user experience by centralizing authentication with a robust SSO solution, reducing login errors by 30%

San Jose, California, US

• Embedded WebKit into a Python-based migration tool, enabling dynamic jQuery-to-PyQt interactions for generating reports and providing interactive recovery and reconciliation steps for field technicians
• Architected a Python application for enterprise data migration planning, supporting the discovery of NetApp ONTAP filers and identifying migration-prohibitive states such as replication setups and Kerberos-secured.
• Developed a Python/PyQt GUI diff tool, streamlining QA processes by efficiently identifying configuration changes and discrepancies across SAN migration tools
• Created a Python API leveraging the NetApp Autosupport HTTP/REST API, extending filer discovery capabilities and generating detailed infrastructure reports
• Enhanced field technician efficiency with interactive reconciliation tools, improving troubleshooting speed and reducing errors
• Streamlined data migration processes with a robust discovery and planning application tailored to NetApp ONTAP environments

Redwood City, CA, US

• Extended a distributed online interface for gaming titles on current-generation consoles, contracted by EA Sports, to enhance the C++-based Blaze server for Madden 2011, optimizing Xbox Live interactions through.
• Authored Lua-to-C++ stress testing scripts to identify performance bottlenecks and ensure server reliability
• Augmented the C++ HTTP handler for multipart/form-data requests, integrating complex HTTP interaction wrappers using libcurl
• Improved the scalability and functionality of an online interface, supporting high-demand gaming applications
• Enhanced server reliability and performance through stress testing and optimizations, ensuring a seamless gaming experience
• Expanded HTTP handling capabilities, reducing operational delays in server-side request processing

US

• Led a team of three developers to deliver a web-based social media business platform, ensuring on-budget and on-schedule completion
• Maintained and extended OpenX ad-serving technology, leveraging PHP/MySQL to enable immediate monetization of web product traffic
• Developed an object-oriented PHP framework with a REST facade, integrating three disparate social media web services into a unified platform
• Maintained and enhanced a Python-based CMS using Zope/Plone, creating custom platform extensions tailored to business use cases and preserving historical company information
• Delivered a social media business platform aligned with client goals, managing the development team effectively
• Monetized web product traffic by extending and optimizing OpenX ad-serving technology

Ridgeland, SC, US

• Developed and maintained customer web presences using the LAMP stack (Linux, Apache, MySQL, PHP), implementing tailored web solutions to meet diverse client needs
• Collaborated directly with clients to elicit, analyze, and refine requirements through frequent in-person meetings, translating their business needs into actionable development strategies
• Delivered customized web solutions, leveraging the LAMP stack to address unique customer requirements
• Strengthened client relationships by fostering effective communication and facilitating collaborative development processes

Applied Mathematics

Computer Science