Software Engineer
UpFlux / Process Intelligence
Current commercial work spanning backend architecture, asynchronous processing, internal data-processing frameworks, enterprise integrations and production reliability.
View detailed experienceJeferson Peter
I build Python APIs, integrations and data-processing systems that automate operational workflows. My experience includes Process Mining systems, enterprise integrations, AI-assisted procurement workflows and open-source Python tools.
Software engineering since 2020 · Based in Brazil
Open to international remote opportunities and relocation to Europe.
Commercial software engineering experience, with current production work first.
Jan 2022 - present
Current role
UpFlux / Process Intelligence
Current commercial work spanning backend architecture, asynchronous processing, internal data-processing frameworks, enterprise integrations and production reliability.
View detailed experienceAug 2020 - Dec 2021
RapidSoft TI
Maintained a textile ERP, implemented integrations between internal systems and contributed to Next.js dashboards.
Co-designed the backend architecture of an AI-powered procurement agent and evolved resource-intensive API workloads into asynchronous background processing for better isolation and availability.
Designed an internal Python/Polars ETL framework for Process Mining and optimized event-processing workloads handling tens of millions of events.
Featured production case
A sanitized engineering case about separating request handling, background processing and enterprise integrations in a production Python system.
Read production case01 · Problem
Long-running, resource-intensive work was competing with request-serving API workloads.
02 · Decision
Move heavy processing into background workers and define clearer service boundaries.
03 · Result
Better resource isolation, service availability and room for the backend to evolve.
Independent engineering work follows professional experience and shows how I approach privacy, automation and developer tooling.
Primary open-source work
A Polars-based anonymization library for privacy-first ETL workflows.
CloakDataPrimary open-source work
A Python CLI for local file automation with watch mode and rule-based organization.
FilemindrSecondary open-source work
A Python tool for clearer local inspection of tabular data in Ubuntu workflows.
TabuLynxCapabilities connected to professional and open-source evidence, organized by the problems they solve.
Production APIs, service boundaries, background processing and relational data systems.
Python · FastAPI · PostgreSQL · Redis
Reusable connectors for enterprise platforms, API-based workflows, scheduled processing and operational alerts.
REST APIs · ERP integrations · Airflow · Scheduled workflows · Operational alerts
ETL frameworks and memory-conscious transformations for large Process Mining event workloads.
Polars · Pandas · Parquet · Lazy evaluation · Parallel processing
Containerized services, cloud workloads and repeatable delivery pipelines.
AWS ECS · ECR · S3 · Lambda · Docker · CI/CD
Selected articles that explain Python behavior and practical data-engineering decisions.
Python internals
Identity versus equality, when each matters and the common pitfalls behind them.
Python: identity versus equalityPolars & ETL
A practical comparison of ecosystem fit, data scale, lazy execution and pipeline workloads.
When to choose Pandas vs PolarsI'm open to Python software/backend engineering opportunities, international remote roles, and relocation opportunities in Europe.