About Daniel
I’m a Cloud / DevOps engineer with 4+ years of hands-on experience designing and operating cloud infrastructure on AWS for Small and Enterprise companies. My work sits at the intersection of data engineering, platform engineering, and DevSecOps, where I focus on building reliable systems while keeping security and cost efficiency in mind.
Over the past few years I’ve worked with tools like Terraform and Kubernetes to automate infrastructure and improve platform reliability. I’m also a Certified Kubernetes Administrator (CKA), and recently designed and implemented an EKS-based platform to help a client migrate their microservices architecture from ECS to Kubernetes.
My experience also includes building event-driven architectures on AWS using services such as Lambda, SQS, ECS, and S3. On the infrastructure side, I’ve managed AWS environments for multiple clients, with a strong focus on governance, security best practices, and FinOps—especially identifying opportunities to reduce cloud costs without compromising performance.
Beyond client work, I enjoy experimenting and learning through personal projects. For example, I built a Proxmox cluster to deepen my understanding of virtualization, networking, security, and Kubernetes from the ground up.
I enjoy working closely with teams to design practical solutions, automate repetitive work, and build platforms that developers actually enjoy using.
Spanish
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- FreelanceCloud and Platform engineerBANKING AND INSURANCEApril 2024 - Today (2 years and 3 months)Madrid, SpainWorked on the design, automation, and operation of AWS cloud platforms supporting microservices, data platforms, and event-driven systems.My role covered cloud engineering, DevSecOps, and data infrastructure, helping teams deploy scalable applications while improving security, reliability, and cost efficiency.Main responsibilities and projects as significant contributor:
- Automated infrastructure deployment on AWS using Terraform for microservice-based applications running on ECS and EKS.
- Built reusable Terraform modules to standarize the deployment of workloads on ECS, EKS, and AWS Lambda.
- Designed and managed AWS networking infrastructure, including VPC architecture, routing, and VPN connectivity solutions.
- Designed and deployed streaming and event-driven architectures using AWS Lambda, Kinesis, and S3.
- Implemented Apache Iceberg lake house architectures to support analytics and data consumption workflows with Python and EMR Serverless.
- Built ETL pipelines for large-scale data processing using Apache Spark and Airflow.
- Managed Apache Airflow on AWS MWAA, including building custom operators and maintaining data workflows.
- Deployed and optimize an Airbyte platform hosted on AWS EKS.
- Managed IAM policies, roles, and cross-account permissions within AWS Organizations to ensure secure access management across multiple environments.
- Implemented CI/CD pipelines using GitHub and Bitbucket to automate infrastructure and application deployments.
- Implemented observability and monitoring for the platform using New Relic and CloudWatch.
- Developed internal data products for cloud cost monitoring using Python and ECS.
- Monitored and optimized cloud costs across AWS accounts as part of FinOps initiatives.
- Automated operational processes and developer workflows using Python to reduce manual work and boost developer productivity.
- SDG GroupCloud and Data ConsultantBANKING AND INSURANCEDecember 2023 - April 2024 (4 months)Valencia, SpainMaintained and enhanced a Neo4j platform deployed on AWS, working with technologies such as Neo4j, Terraform, Bash, Python, AWS SNS, and AWS CloudWatch Synthetics.Deployed data virtualization tools including Starburst and Denodo on AWS, using services such as EC2, EKS, IAM, S3, and Lambda. This work included performance testing with JMeter and SQL, as well as integration with relational databases, DynamoDB, Kinesis Data Streams, and Power BI.Additional projects included Linux server automation with Ansible and data processing workflows built with Spark and Python.
- SDG GroupCloud and Data AnalystBANKING AND INSURANCENovember 2022 - November 2023 (1 year and 1 month)Valencia, SpainDeployment of Neo4j on AWS across a three-environment architecture (development, staging, production).Responsible for designing the cloud architecture, including EC2 instances, health checks using CloudWatch and SNS, IAM permission management, and VPC networking.Infrastructure was deployed using Terraform (Infrastructure as Code), ensuring reproducible and automated environment provisioning.Developed automation scripts using Bash and Python to streamline installation and configuration tasks, including filesystem and swap creation, software installation, systemd daemon setup, and TLS certificate configuration.Maintained an Advanced Analytics platform based on RStudio, consisting of four Linux servers. Responsibilities included daily monitoring, user support, and package installation and maintenance.Other projects included:Building data pipelines using Apache Airflow.Refactoring Python scripts to improve maintainability and performance.Creating Docker images for development and experimentation environments.Deploying a personal website using AWS Route53 and Nginx.
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Education
- Bachelor of EngineeringUniversitat Politècnica de València (UPV)2018Bachelor of Aerospace Engineering, Aircraft
Certifications
- CKA: Certified Kubernetes AdministratorThe Linux Foundation2025
- Astronomer Certification for Apache Airflow FundamentalsAstronomer2024