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Candelario Gutiérrez

@candelariogutirrez

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DevOps and DataOps specialist building reliable, scalable cloud-native systems.

Mexico

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What I'm looking for

I’m looking for a team where I can own DevOps/DataOps platforms—streamlining CI/CD, improving observability and security, and delivering high-performance streaming + ETL pipelines with measurable reliability and performance gains.

I’m a DevOps and DataOps specialist with over 6 years of experience building scalable cloud-native systems across cloud infrastructure and data operations. I’ve delivered event-driven streaming platforms with Kafka, and I focus on reliability, throughput, and deployment speed.

In my recent roles, I automated deployments with Terraform and Ansible (cutting manual effort by 50%) and built CI/CD pipelines to improve release management and delivery by 40%. I also strengthened observability and security by integrating Prometheus, Grafana, CloudWatch, Wazuh, and SAST/SCA/DAST tooling—supporting 24/7 operations with 99.9% uptime.

Experience

Work history, roles, and key accomplishments

DataOps Specialist

Go.Up Financial Solutions Corp.

Jul 2024 - Aug 2025 (1 year 1 month)

Built an event-driven Kafka platform to analyze 100+ companies in real time for day trading, integrating six trading indicators. Automated data-driven pipeline setup with Docker and Bash, reducing the deployment lifecycle by 80%.

Kafka Event Driven Architecture DataOps Real Time Analytics Docker BASH Streaming Data Data Pipelines

DevOps Specialist

NeuroSoph Development Inc.

Oct 2022 - Jul 2025 (2 years 9 months)

Automated continuous deployment and cloud infrastructure provisioning with Terraform and Ansible, reducing manual effort by 50%. Improved system throughput by 30%, enhanced release management across 4 projects by 40%, and reduced operational issues by 35% while maintaining 99.9% uptime.

Terraform Ansible Prometheus Grafana AWS Cloudwatch Wazuh PostgreSQL Observability

Research & Development

U of A & The CECN

Jan 2021 - Sep 2022 (1 year 8 months)

Led development of a toolkit to analyze high-volume social media data using Python, Spark/Kafka, and CrateDB for policy development. Built scalable ETL pipelines and REST APIs, collaborating with 4 professors, 2 developers, and an industry partner and co-authoring academic papers.

Python Apache Kafka Apache Spark CrateDB ETL REST APIs Data Analysis Data Engineering

Teaching Assistant

U of A Computing Science Department

Sep 2019 - Dec 2020 (1 year 3 months)

Delivered lectures and managed labs on software systems and development topics for undergraduate students under faculty guidance. Supported students through practical lab sessions and instruction.

Lecture Delivery Software Systems Instruction Student Support

Full-Stack Developer

House Market Startup

Sep 2018 - Feb 2019 (5 months)

Developed approximately 30% of full-stack features for a cloud-based real estate application. Contributed to end-to-end implementation across the application stack.

Full Stack Web Application Development Cloud Based Systems App Feature Implementation API Integration

Education

Degrees, certifications, and relevant coursework

University of Alberta

Master of Science (M.Sc.), Computing Science

2019 - 2022

M.Sc. in Computing Science focused on distributed systems and data analysis, with a thesis titled "SoDa-TAP: A Data Platform for Social Media Analysis."