Henrique Derlam Zwetsch

Porto Alegre, Brazil • henriquederlam@gmail.comLinkedIn

Versatile software engineer with four years of experience in high-impact Research and Development environments. A generalist professional with a strong focus on continuous learning, rapid adaptation, and delivering business value throughout the entire software development life cycle. Proven success in building telemetry pipelines and improving software security and reliability in enterprise environments.

Experience

Software Engineer I (HP Z Boost)
HP Inc.
Mid-2024 - Present
  • Enabled data-driven product decisions by designing and implementing a telemetry data pipeline using GCP BigQuery, Dataform, and Looker Studio.
  • Developed a solution using GitHub Actions and Python to automate project metric reporting (e.g., issue cycle time, story points) for executive review.
  • Created a Python data processing automation (Github Actions) to dynamically generate a GitHub Pages site for internal data analysis.
  • Co-developed a solution to automate the digital signing of solution binaries and Windows installer using Wix, improving security and release efficiency.
  • Ensured software quality and reliability by performing end-to-end testing and increasing unit test coverage to meet internal compliance standards.
Software Engineer Intern (HP Anyware)
HP Inc.
2023 - 2024
  • Delivered new features and enhancements for the HP Anyware platform across the ReactJS front-end and back-end microservices, ensuring code quality with comprehensive unit tests.
  • Implemented a security hardening process by integrating a Trivy scan to generate container vulnerability reports for the Kubernetes cluster.
  • Created Datadog dashboards for monitoring solution hardware usage and conducted performance profiling using the Datadog Agent.
  • Optimized Azure Cosmos DB by refining indexes, resulting in significantly reduced RU (Request Unit) costs.
Support and Operations Engineer Intern (HPID)
HP Inc.
2022 - 2023
  • Reduced manual support workload by maintaining and enhancing a Python automation that auto-resolved recurring N2 Jira tickets.
  • Leveraged Elasticsearch, Kibana, and Grafana to monitor system health and accelerate root cause analysis during troubleshooting tasks.
  • Developed a Python Lambda function to manage backup EBS volumes, including SNS email notifications, reducing monthly operational costs by approximately US$10,000.
  • Created a solution to automate the renewal of digital certificates for HPID domains using EC2, Shell scripting, AWS KMS, Certbot, and DigiCert CA.
Software Engineer Intern
LIS (HP Software Innovation Lab - PUCRS)
Aug 2021 - Sep 2022
  • Architected a synthetic dataset generator using Python and HTML to create annotated table images, directly enabling the fine-tuning and training of a MMDetection model for a computer vision accessibility project.
  • Contributed to a DevOps project for automating the management of digital certificates using ReactJS, NodeJS, AWS Lambda, Secrets Manager, AWS RDS Aurora, Route 53, Cognito, AWS SAM, and GitHub Actions for CI/CD.

Technical Skills

Languages
Python, TypeScript, SQL, Shell Scripting
Cloud & DevOps
AWS (Lambda, EC2, RDS, EBS, KMS, SAM), GCP, Docker, Kubernetes, GitHub Actions
Frameworks
ReactJS, NodeJS
Databases
Azure Cosmos DB, AWS RDS Aurora, Google BigQuery
Observability
Datadog, Elasticsearch, Kibana, Grafana, Looker Studio

Education

Bachelor’s in Software Engineering
PUCRS
2019 - 2024