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Pedro Mendes

https://github.com/phrmendes
https://www.linkedin.com/in/pedrohrmendes
📧 phrmendes@duck.com

👤 About Me

I have four years’ experience in the IT market and one year’s experience as an economic analyst, also working with data science. I was also a research assistant in the scientific initiation program at UFABC, and I am currently enrolled in the 9th period of the Economics BA degree program. My interests are time series econometrics, machine learning, Python, and the Nix ecosystem.

🛠️ Skills

Skill Level Tools
Python Advanced pandas, scikit-learn, Django, FastAPI, Keras, TensorFlow, PyTorch Streamlit, PySpark, dbt, Prefect
Go Intermediate
Lua Intermediate
Ansible Intermediate
Terraform Intermediate
Apache Spark Intermediate Databricks
Docker Intermediate
Kubernetes Intermediate Helm, Istio, OpenShift
GitHub Intermediate GitHub Actions
GitLab Intermediate GitLab CI
Databases Intermediate PostgreSQL, MariaDB, MongoDB
Google Cloud Intermediate BigQuery, Compute Engine, GKE
Azure Intermediate CosmosDB, Azure DevOps, Azure Functions
AWS Beginner Lambda, EC2, RDS
Apache Airflow Beginner
Argo CD Beginner
Grafana Beginner
Prometheus Beginner
OpenTelemetry Beginner

🎓 Education

Federal University of ABC

BA degree in Economics

BA degree in Sciences and Humanities

Fatec São Caetano do Sul

Information Security

💼 Work Experience

Data Engineer

I’m responsible for creating and maintaining ETL pipelines for the city’s public data lake. I also developed a product that uses machine learning and LLMs to automate internal processes in the city’s public administration, creating the microservice infrastructure using FastAPI and deploying it on Kubernetes.

DevOps / Site Reliability Engineer

I’ve managed CI/CD pipelines with Azure DevOps and Argo CD, and developed microservice performance monitoring solutions with New Relic. I was also responsible for creating automation tools using Infrastructure as Code (Terraform, Ansible, and Helm) and Python.

Data Analyst

My main activity was related to extracting and processing data on the private health sector in Brazil. To do this, I created ETL pipelines using R and Python to process large amounts of data and used exploratory data analysis to produce reports and dashboards for public use. I also managed databases using PostgreSQL and serverless databases such as DuckDB and Apache Arrow. I was also responsible for forecasting relevant indicators using time series econometric tools (mainly VAR-related models).

🌐 Language Proficiency

Language Level
Portuguese Native
English Professional working proficiency
Spanish Professional working proficiency

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