Senior Full Stack Engineer (React/Node)

DANIEL CASE

Senior Full Stack Engineer

Lynn Haven, FL ● 909-***-**** ● *********@*****.***

● https://www.linkedin.com/in/danielcase7a3493a15/ SUMMARY

Senior Full Stack Engineer with 12+ years of experience building scalable, high-performance web applications and backend systems serving millions of users across healthcare, real estate, cloud infrastructure, and financial services. Expert in modern JavaScript/TypeScript ecosystems (React, Next.js, Angular) and backend development with Node.js, Python, and Go. Proven track record architecting microservices, RESTful and GraphQL APIs, and cloud-native solutions on AWS and GCP that process billions in transactions and handle millions of daily requests. Specialized in end-to-end ownership of complex features—from responsive, accessible frontends to distributed backend systems—while driving measurable business impact through performance optimization, automation, and data-driven decision making.

TECHNICAL SKILLS

• Frontend: React, Next.js, Angular, TypeScript, JavaScript, TailwindCSS, HTML5, CSS3, Storybook, Redux, Zustand

• Backend & APIs: Node.js, Express, Python (FastAPI, Flask, Django), Go (Gin, Echo), Java, GraphQL, REST, Firebase, PostgreSQL, MongoDB, Redis

• Cloud & DevOps: AWS (Lambda, EC2, API Gateway, RDS, S3), GCP (IAM, Cloud Functions, Stackdriver), Docker, Kubernetes (EKS/GKE), Terraform, GitHub Actions, Jenkins

• Testing & Quality: Jest, Cypress, Mocha, pytest, Go testing, Selenium, Postman

• UI/UX & Performance: Responsive Design, Accessibility (WCAG), Lighthouse, Design Systems, Cross- Browser Testing, Figma Handoff

• Development Practices: CI/CD, Microservices, Serverless Architecture, Agile (Scrum), TDD, Infrastructure as Code

EXPERIENCE

Curative – Senior Software Engineer Oct 2024 – Present

• Developed patient-facing appointment scheduling platform using React (Next.js) and TypeScript serving 500K+ members, building multi-step booking flows with real-time availability integration backed by Go microservices, reducing no-show rates by 32% through automated reminders and calendar sync functionality with 99.8% uptime and HIPAA compliance.

• Built claims processing backend system using Python (FastAPI) and PostgreSQL handling 200K+ monthly claims totaling $45M+ value, implementing automated adjudication rules engine integrating with clearinghouses via FHIR APIs, reducing manual review time from 72 hours to 8 hours and improving first-pass approval rate by 41%.

• Architected telehealth video consultation platform using React frontend with TypeScript and Node.js WebSocket backend supporting 15K+ monthly virtual visits, integrating Twilio Video API with EHR systems for seamless clinical documentation, achieving 4.7+ patient satisfaction rating and 94% connection success rate across desktop and mobile devices.

• Created lab results dashboard using React and Go services processing 50K+ monthly lab orders, building real-time notifications system with Redis pub/sub and secure document delivery, enabling patients to access results 60% faster while maintaining full PHI security and audit compliance.

• Designed care plan eligibility engine using Python (Flask) processing member enrollment data across 200+ employer groups, reducing eligibility determination time from 3 days to real-time and improving member activation by 28%.

• Led frontend performance optimization initiative using Lighthouse auditing, improving Core Web Vitals scores by 38% (LCP from 4.2s to 2.6s) and reducing bundle size by 45% through code splitting with Next.js dynamic imports and WebP image optimization.

• Deployed scalable microservices architecture using AWS Lambda, EKS, and Terraform, improving system uptime to 99.95% and reducing deployment time from 45 minutes to 8 minutes with blue- green deployment strategy.

• Established comprehensive testing strategy achieving 87% code coverage using Jest, Cypress, pytest, and Postman, reducing production defects by 52% and enabling confident bi-weekly releases.

• Tech Stack: React, Next.js, TypeScript, Node.js, Python(FastAPI, Flask), Go, PostgreSQL, AWS

(Lambda, EKS, RDS, S3), Terraform, Jest, Cypress

Pacaso – Senior Software Engineer Apr 2022 – Oct 2024

• Engineered buyer marketplace dashboard using React, Next.js, and TypeScript serving 8K+ qualified buyers, increasing buyer engagement time by 47% and application completion rate by 35% through property search with advanced filters and real-time GraphQL subscriptions.

• Re-architected backend listing aggregation services using Node.js (TypeScript) and PostgreSQL, reducing API response latency by 40% (from 850ms to 510ms) and supporting 3x traffic growth during peak listing launches through query optimization and Redis caching.

• Built ownership agreement workflow platform enabling 500+ monthly co-ownership transactions totaling $120M+ property value, integrating DocuSign for e-signatures and Stripe for payment processing with automated document generation and compliance tracking.

• Created scheduling coordination system managing 12K+ monthly home stays across 200+ properties, reducing scheduling conflicts by 68% and improving owner satisfaction scores from 3.8 to 4.6 through conflict resolution algorithms and automated notifications.

• Integrated full-stack monitoring using Sentry and Datadog, reducing MTTR by 35% through automated alerting and detailed error context tracking key metrics across listing load time, transaction success rate, and API error rates.

• Established frontend quality assurance using Cypress E2E tests achieving 82% test coverage of critical user flows and collaborated on DevOps automation using GitHub Actions for automated testing and deployment.

• Implemented GraphQL API layer using Apollo Server replacing legacy REST endpoints, reducing over-fetching by 60% and improving mobile app performance on slow networks by 45% with dataloader pattern for N+1 query prevention.

• Built admin analytics portal using React and TypeScript with Recharts data visualization, connecting to Node.js aggregation services for executive reporting on buyer pipeline, inventory utilization, and transaction velocity.

• Tech Stack: React, Next.js, TypeScript, Node.js, GraphQL, PostgreSQL, AWS (Lambda, RDS, S3), Storybook, Sentry, Datadog, Cypress

Google – Software Engineer (L4) Mar 2020 – Apr 2022

• Built IAM provisioning workflows using Angular and React with TypeScript serving 50K+ GCP administrators across 10K+ enterprise organizations, reducing IAM setup time from 45 minutes to 8 minutes and improving security compliance by 52%.

• Developed RESTful APIs and CLI tools using Go and Python (Flask) automating GCP project creation for 200K+ monthly provisioning requests, reducing manual DevOps toil by 85% and enabling self- service onboarding for development teams.

• Architected quota management system using Go and PostgreSQL processing 5M+ daily resource requests across Compute Engine, Cloud Storage, and BigQuery, improving resource utilization by 34% and reducing quota request backlog from 2 weeks to 4 hours.

• Created developer onboarding platform using React and TypeScript, onboarding 15K+ new developers monthly and reducing support tickets by 48% through automated environment configuration and credential management.

• Led frontend performance optimization initiative reducing Angular bundle size from 4.2MB to 2.3MB and improving Time to Interactive (TTI) by 45% (from 6.8s to 3.7s) through lazy loading, tree shaking, and dependency analysis.

• Wrote Terraform modules standardizing infrastructure provisioning across 100+ microservices, integrating deployments into CI/CD pipelines using Cloud Build reducing infrastructure setup from days to hours.

• Enhanced platform observability using Stackdriver with OpenTelemetry (adopted post-GA in 2021), creating Go instrumentation libraries used by 200+ internal services, improving MTTD by 67% and enabling proactive incident response.

• Implemented frontend feature flag system using TypeScript and Cloud Firestore, safely launching 40+ features to production with controlled exposure and instant rollback capability.

• Tech Stack: Angular, React, TypeScript, Go, Python(Flask), GCP (IAM, Cloud Functions, Stackdriver), Terraform, PostgreSQL

Salesforce – Software Engineer Jul 2016 – Mar 2020

• Developed enterprise lead management module using LWC and JavaScript serving 100K+ sales users across Fortune 500 companies, increasing lead response time by 52% and conversion rates by 23% through intelligent lead routing and deduplication logic.

• Architected REST API integration layer using Java and Apex connecting Sales Cloud with SAP, Workday, Oracle ERP, and 50+ enterprise systems, processing 10M+ daily sync operations with 99.7% data accuracy and reducing manual data entry by 78%.

• Created Service Cloud case management workflows handling 5M+ monthly support tickets across email, chat, and phone channels, reducing average resolution time from 48 hours to 18 hours

(62% improvement) through skill-based routing and SLA escalation rules.

• Spearheaded accessibility improvement initiative achieving WCAG 2.1 AA compliance and screen reader compatibility with JAWS and NVDA, supporting 15K+ users with disabilities and avoiding potential ADA litigation.

• Developed data migration tools using Java and Python (Django) transferring 100M+ records from legacy CRM systems, successfully migrating 200+ Fortune 1000 companies with 99.3% data integrity.

• Created automated testing framework achieving 85% code coverage across Apex classes and LWC components, running 10K+ tests per deployment and reducing production defects by 64% enabling weekly releases.

• Implemented real-time event streaming using Platform Events processing 50M+ monthly business events for workflow automation and audit logging with sub-second latency.

• Tech Stack: Lightning Web Components (LWC), JavaScript, Java, Python (Django), Apex, REST APIs, PostgreSQL, JUnit, Selenium

Capital One – Software Engineer Jul 2014 – Jul 2016

• Architected online banking platform using Go microservices (Gin) and React serving 45M+ customers, processing $120B+ annually with 99.95% uptime through PostgreSQL connection pooling and Redis caching reducing database load by 60%.

• Built real-time credit decisioning using React and Go, reducing approval time from 3 days to 60 seconds and processing 800K+ monthly applications using goroutines/channels for parallel credit bureau API calls.

• Developed fraud detection engine using Python (scikit-learn) with Flask REST endpoints and Kafka streaming pipelines analyzing 120M+ cards, preventing $240M+ annual losses with 1.8% false positive rate.

• Engineered mobile banking gateway using Go (Echo) APIs and React frontend for 15M+ users, achieving 4.6+ app rating with 2M+ daily active users through JWT authentication and Redis rate limiting.

• Built data analytics infrastructure using Python (Pandas, Spark) processing 500GB+ daily data, creating React dashboards with D3.js for spending analysis and customer segmentation.

• Implemented rewards engine using Go concurrent processing handling 10M+ daily calculations for 30M+ cardholders with sub-100ms response times via PostgreSQL stored procedures and Redis.

• Developed automated underwriting using Python (Django) processing 800K+ monthly applications with 73% automated decisioning, improving efficiency by $18M annually using RESTful APIs and Redis/Celery job queues.

• Established CI/CD pipeline using Jenkins and Docker achieving 85%+ test coverage, reducing production defects by 68% and enabling weekly releases.

• Tech Stack: Go (Gin, Echo), Python (Flask, Django, Pandas, scikit-learn), React, TypeScript, PostgreSQL, Redis, Kafka, Docker, Jenkins

EDUCATION

University of South Florida

Bachelor of Science, Computer Science 2010 – 2014

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