Senior Software Engineer with hands-on experience designing and building scalable and distributed systems and real-time data solutions. My background combines backend engineering, data infrastructure and cloud-native platforms. I have worked with Java, Go, Kafka, Spark(Python), ClickHouse, Kubernetes, Docker and modern CI/CD environments, delivering reliable systems for demanding workloads. I enjoy simplifying complex problems, improving performance and building practical solutions that scale. Core areas include backend engineering with Go and Java, distributed systems, Kafka-based streaming architectures, cloud-native platforms, APIs, microservices and DevOps automation.

Skills

Programming Languages

Advanced
  • Go
  • Java
  • Bash
  • Python
  • Scala
  • Spring Boot

Databases

Advanced
  • PostgreSQL
  • ClickHouse
  • MariaDb
  • Redis
  • MongoDB
  • Snowflake

Data Processing

Advanced
  • Kafka
  • Flink
  • Databricks
  • Spark
  • RabbitMQ
  • DBT
  • Airflow

AI-Assisted Engineering

Intermediate
  • Agentic Systems
  • Context Engineering
  • LLM Integration
  • Human-in-the-Loop Development

Infra & DevOps

Advanced
  • CI/CD (GitHub, Github Actions, Jenkins, GitLab, Bitbucket)
  • Docker
  • Kubernetes
  • Terraform

Cloud

Intermediate
  • AWS
  • Azure
  • Google Cloud

Observability & Analytics

Advanced
  • Grafana
  • OpenTelemetry
  • Prometheus
  • Superset
  • Elastic (ELK)
  • Power BI

Work Experience (4)

Apr 2022 - Current
Senior Software Engineer
SDG Group
Designed and developed scalable real-time data platforms using Kafka, Spark and containerized environments.
  • Creation and maintenance of development images with Docker.
  • Message pipeline with Spark for data processing using Scala and Python.
  • Development of low-code solution for data exploration with KSQL.
  • Built backend services and internal tooling in Go and Java to improve operational efficiency.
  • Implementation of Kafka Connect, Debezium, DBT & Airflow for data processing.
  • Enhanced observability and reliability through Grafana dashboards, monitoring and automated deployments.
  • Contributed to architecture decisions, scalability and maintainability of critical systems.
Mar 2019 - Apr 2022
Software Engineer
Altia
Delivered backend and data engineering solutions for enterprise analytics environments.
  • Developed microservices and APIs with Java / Spring Boot.
  • Implemented near real-time pipelines with Kafka Streams.
  • Built monitoring and observability systems with Prometheus.
  • Automated CI/CD and deployment workflows.
  • Improved reliability, scalability and operational efficiency.
Jun 2018 - Mar 2019
Software Engineer
Emetel
Built and operated a real-time data processing platform using Kafka, Spark and Elastic Stack.
  • Created and maintained Docker images for reproducible deployments.
  • Developed Java and Scala services for stream processing.
  • Implemented ingestion pipelines from multiple external sources.
  • Built Kibana dashboards for monitoring and analytics.
  • Automated deployment and operational processes.
Dec 2014 - Jun 2018
Junior Software Engineer
Indra Software Labs S.L.
Managed and developed distributed database platforms for a multinational retail environment
  • Administered medium-sized clusters (100–200 servers) supporting large-scale data processing workloads.
  • Built internal tools for orchestration and platform operations.
  • Implemented ingestion processes from DB2, AS/400 and SQL Server systems.
  • Optimized data processing workflows based on MapReduce paradigms.
  • Improved platform stability, performance and operational efficiency.
  • Collaboration in the management of a SLURM cluster (SimpleLinuxUtiliyforResource Management)

Projects (7)

go-auth-kit
Reusable Go authentication module designed for production-ready backends. It supports configurable authentication strategies (cookie-based sessions or JWT access + refresh tokens), role and permission checks (RBAC), OAuth login providers (GitHub / Google), password reset flows, rate limiting at auth endpoints, and security-oriented audit logs. The objective is to provide a drop-in foundation for secure auth without reimplementing the same patterns in every service.
  • Go
  • JWT + Cookies
  • OAuth
  • RBAC
  • Audit Logs
Concurrent Worker Runtime
Concurrent processing runtime for asynchronous jobs in Go. It includes dynamic worker pools, exponential retries with jitter, backpressure management, dead-letter queue (DLQ), graceful shutdown, and context cancellation propagation. The focus is reliability under load and predictable behavior during failure scenarios, with clear observability hooks for monitoring throughput, retries, and queue health.
  • Concurrency
  • Retries
  • Backpressure
  • DLQ
  • Graceful Shutdown
Go Microservice Suite (gRPC + REST)
Reference microservice system composed of User Service, Notification Service, and a mock Billing Service. Internal communication uses gRPC contracts with protobuf, while an external REST gateway exposes public endpoints. It includes timeout and retry policies, transport-level error handling, and service boundaries oriented to real-world distributed systems. Built to demonstrate practical service decomposition and robust inter-service communication.
  • gRPC
  • REST Gateway
  • Protobuf
Event Analytics Pipeline
Event-driven analytics architecture covering event ingestion, data modeling, ETL transformations, metric generation, and analytical serving layers. Implemented with Go and analytical/storage combinations such as DuckDB, ClickHouse, and PostgreSQL. The goal is to provide a pragmatic blueprint for near real-time analytics with clear separation between ingestion, processing, and consumption concerns.
  • Event-Driven
  • ETL
  • Go
  • ClickHouse
  • PostgreSQL
observekit
Observability demo stack for modern backend systems. It integrates OpenTelemetry instrumentation, distributed tracing, Prometheus metrics, Grafana dashboards, centralized logs, SLO-oriented views, and Superset analytics boards for exploratory analysis. The project is focused on making system behavior observable end-to-end: from request-level traces to service KPIs, alerting, and product-level analytical insights.
  • OpenTelemetry
  • Tracing
  • Prometheus
  • Grafana
  • Superset
  • OpenSpec
CLI Suite
Professional Go CLI toolkit designed as a multi-command platform for operational and engineering workflows. Planned commands include Data Quality CLI, API Audit CLI, Benchmark CLI, Migration CLI, and Kubernetes helper utilities. The suite emphasizes robust UX, strong error handling, testability, and repeatable automation for day-to-day engineering tasks.
  • Go
  • Automation
  • Benchmarking
  • OpenSpec
  • Testing
CLI Games Collection
Progressive terminal game collection used as a technical playground for architecture and algorithmic practice. The roadmap advances from grid-based games (Snake, Sokoban) to physics and action loops (Flappy, Breakout, Space Invaders), and then to more complex systems (Pac-Man style AI, Asteroids movement, platformers, Tetris). It is intentionally structured to improve game loops, input handling, collision systems, and reusable engine patterns.
  • Game Loops
  • Collision Systems
  • Terminal UI
  • Algorithms
  • Architecture
  • OpenSpec

Education (2)

2008 - 2014
Degree
 Computer Engineering
Santiago de Compostela University (USC)
2016 - 2018
Master
 Big Data and Visual Analytics
International University of La Rioja (UNIR)

Certificates

2026-08-08
Databricks Certified Data Engineer Professional
Databricks
 https://credentials.databricks.com/1d30c7f3-ac17-4b91-a03a-7447fcd3e0fd#acc.B9uxFHyw
2025-09-13
ClickHouse Certified Developer
ClickHouse
 https://www.credly.com/badges/09a51399-9a62-4619-9d6b-3096e2b8070c/linked_in?t=t2irdp
2017-06
Cloudera: Developer Training for Spark & Hadoop
2020-06
AWS Certified SysOps Administrator

Languages

Spanish

Native speaker

Galician

Native speaker

English

Intermediate speaker