Who is Etienne Daher?

Etienne Daher is the founder of Ete-services. He is a motivated and team-oriented Chief Technology Officer (CTO) with extensive experience in solutions development, software architecture, customer engagement and project management.

Early life & career

In the early twenty-tens, Etienne completed his computer engineering studies at LAU. In March 2017, he founded Ete-services, a boutique IT firm that provides end to end and bespoke solutions to SMBs, SMEs, as well as large organizations. Etienne currently alternates between Lebanon, UAE and USA.

Journey

Etienne Daher is passionate about innovation, Web3, blockchain & AI. He helps his clients, from all industries, to define their goals, set success metrics, set budget, align on milestones, deliverables and project dependencies. Afterwards, he outlines a timeline schedule and set a clear and efficient communication plan for everyone.

Leadership & Tech Achievements

- Directed cross-functional engineering teams across frontend, backend, QA, and DevOps to deliver large-scale software ecosystems
- Scaled backend infrastructure handling 10K+ concurrent requests through distributed caching and optimized load balancing
- Decreased cloud infrastructure costs by 35–42% via Terraform automation, Kubernetes autoscaling, and efficient resource provisioning
- Built AI-powered ranking, recommendation, and analytics engines using TensorFlow and Bayesian neural networks
- Architected decentralized Web3 applications with wallet authentication, smart-contract flows, and blockchain integrations
- Developed high-availability clusters with Docker and Kubernetes ensuring zero-downtime deployments
- Created full-stack applications using Node.js, React, AngularJS, and microservice APIs backed by MongoDB and Elasticsearch
- Designed and deployed enterprise-grade CI/CD pipelines using Bitbucket, Jenkins, CircleCI, and Terraform
- Integrated 3rd-party systems (Stripe, PayPal, PassportJS, Firebase, EasyPost) for seamless user and payment experiences
- Engineered content management and delivery platforms serving multi-channel applications and AI assistants
- Implemented advanced monitoring, alerting, and scaling using CloudWatch, Prometheus, and automated recovery scripts
- Optimized frontend performance with code splitting, asset compression, and lazy loading for 35% faster page load
- Developed internal AI and data-processing daemons powering automation, RSS aggregation, and SEO analytics
- Built secure, high-throughput APIs with JWT rotation, WAF integration, and multi-factor authentication
- Migrated monolithic architectures to modular, service-oriented microservices for improved scalability and maintainability
- Designed custom libraries and SDKs to standardize internal API communication and service orchestration
- Implemented serverless compute using AWS Lambda and Step Functions for event-driven workloads
- Delivered large-scale analytics dashboards and data pipelines for real-time business intelligence
- Orchestrated global deployments using Docker, Kubernetes, and Terraform across multiple environments
- Led product vision and technical roadmap alignment between engineering, design, and business teams