Eligio Mariño

Perk (Corporate travel and spend management) · Barcelona, Spain

• Second SRE hire; set the IaC and observability standards for the platform and partnered with the Engineering Manager on the team's roadmap.
• Sped new microservice Datadog observability provisioning 95% (days → minutes) with a reusable Terraform module framework — cost, reliability, and security guardrails enforced via Terraform validations, and per-service isolation so one change can't break others. Closed a 2-year backlog of outdated provider versions.
• Cut product engineers' monitoring-maintenance time 75% (3 days → 4 hours) by rearchitecting the company's Datadog observability stack in Terraform; adopted by 100% of services.
• Cut database costs 10% through capacity planning and routing AWS RDS purchases through our discounted reseller.
• Onboarded 200 services from a newly acquired company onto Datadog, cutting MTTD 90% (days → seconds) and MTTR 80% across a Cloud Run, Cloud Function and GKE in GCP. Created agent skills and automations to accelerate the rollout to a month instead of the planned 6 months across all engineering teams using GCP..
• Lifted post-incident follow-up completion from 40% to 90% by automating the incident management process and increasing visibility for engineers and leadership.

Collective Minds (Healthcare collaboration platform) · Barcelona, Spain

• Accelerated deployments 10x as the first DevOps Engineer hire; built the infrastructure strategy from scratch with Terraform and Terragrunt.
• Decreased by 50% the build and deployment time by building the containerization strategy from local Docker Compose through Gitlab CI to ECS and Kubernetes deployment.
• Cut MTTR from 4 hours to 20 minutes by building the OpenTelemetry, Prometheus, Grafana Cloud, and CloudWatch observability stack across containers and AMIs.
• Cut audit time 50% and lifted security posture by codifying network-security and data-protection governance policies.
• Cut the monthly cloud bill 15% by integrating Infracost, CloudCustodian, AWS Compute Optimizer, and AWS Cost Optimization Hub into Grafana to surface unused resources and anomalies.
• Sped less-regulated CI 3x and cut new-service spin-up 20% through per-microservice Gitlab CI pipeline templates, Nixery-based Docker images, and a monorepo→multirepo split.

AleaSoft (Energy price forecasting) · Barcelona, Spain

• Reduced data quality issues detection in 70%, from days to minutes, by building a data monitoring for all the energy data services.
• Cut release time in 70% by creating an internal C++ package manager for all applications and libraries.
• Cut data latency 20% by developing Python and C++ ETLs and forecasting models with smart update policies for the French and German energy markets.
• Cut data latency 30%, network downtime 10%, and deployment time 40% by implementing a timeseries visualization platform with web monitoring and admin panel using Symfony, Python, Luigi, AWS CDK, Github Actions, and Docker.
• Cut backup time 70%, recovery time 50%, and storage cost 30% by automating web hosting backup and rollback onto cloud storage.

CopSonic (IoT ultrasonic connectivity) · Toulouse, France

• Increased the communication range by 5x and decreased bit-error rate in 10% by building a sound-wave NFC system for embedded devices in C and MATLAB DSP on STM microcontrollers.
• Cut prototype time 10%, increased noise resiliency in 15%, and trimmed payload to 100 samples in all services by building the framework for an indoor sound-wave communication system in C++, MATLAB DSP, and Android.

Conoce Cuba (private-business directory) · Havana, Cuba

• Implemented a map positioning system for Cuba's private businesses; improved map-render duration 50% via map-tile heuristics (Qt, C++, Android).

Technological University of Havana (CUJAE) · Havana, Cuba

• Thesis: Chaotic Interleaver in Turbo Codes.