MG.
    PT
    DATA ENGINEER / BACKEND / AUTOMATIONOpen to opportunities

    Data Engineer building reliable pipelines, APIs and automation systems.

    Data engineering, backend and automations to turn complex operations into reliable, observable and scalable systems.

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    Reliable systems map

    sources

    ingest

    model

    serve

    observe

    logs: oklatency: lowretry: ready

    01 / Positioning

    Technical infrastructure for operations that need to work.

    • 01 /I design data pipelines.
    • 02 /I build backend systems.
    • 03 /I automate critical operations.

    02 / Cases

    Selected work

    Projects built to solve real problems across operations, data and integration.

    CASE 01

    Workforce Analytics

    Problem

    HR indicators were spread across different sources, making it harder to analyze absenteeism, vacations, leaves and workforce movements.

    Solution

    Built pipelines to consolidate corporate system data, model analytical datasets and feed executive dashboards.

    Stack

    PythonSQL ServerMySQLAirflowPower BI

    Impact

    Reliable people analytics foundation, less manual work and clearer executive reading of indicators.

    CASE 02

    Fleet Integrations

    Problem

    Fuel and fleet usage data came from external APIs with pagination, date windows and reprocessing needs.

    Solution

    Created ingestion routines with processed-date control, logs, pagination and persistence in a relational database.

    Stack

    PythonAPIs RESTMySQLAirflowDocker

    Impact

    Recurring, traceable and failure-ready processing, reducing dependency on manual execution.

    CASE 03

    Operational Automations

    Problem

    Internal processes depended on manual actions, repetitive lookups and operational communication that did not scale well.

    Solution

    Developed automations with n8n, API integrations, message delivery, business rules and routine orchestration.

    Stack

    n8nPythonAPIsWhatsAppSQL

    Impact

    Less rework, more operational predictability and processes that are easier to monitor.

    CASE 04

    Backend Systems

    Problem

    Internal systems needed APIs, authentication, real-time communication and integration between services.

    Solution

    Built APIs, backend structures and services for sessions, chat, authentication, permissions and operational events.

    Stack

    Node.jsTypeScriptPostgreSQLWebSocketsDocker

    Impact

    More organized architecture, reusable services and a technical foundation ready to evolve.

    CASE 05

    Omnichannel Operations

    Problem

    Support platforms needed to connect chat, telephony, queues, users, indicators and real-time events.

    Solution

    Evolved APIs, WebSockets, operational dashboards, SIP/Asterisk integrations, webhooks and administrative interfaces.

    Stack

    Node.jsTypeScriptSocket.IOReactMaterial UIJsSIPAsterisk

    Impact

    Production systems supporting operations with around 6,000 service interactions per day.

    CASE 06

    On-Premise Transcription

    Problem

    Service recordings needed to be processed locally with traceability, logs and integration into the operational workflow.

    Solution

    Built Python/Flask services with Whisper, background processing, polling, Swagger, rotating logs and Linux/systemd deployment.

    Stack

    PythonFlaskWhisperPyTorchSwaggerpytestsystemd

    Impact

    Audio processing integrated into operations, with documented API and on-premise support.

    03 / Education

    Education and credentials that strengthen the practice.

    Academic background and complementary learning relevant to data, finance and professional development.

    USP

    Data Science and Finance

    Data Science and Finance certificate from the University of São Paulo.

    View document

    Alura

    Alura Certificate

    Complementary certificate in technology and professional development.

    View document

    IESB

    Big Data and Analytical Intelligence

    Degree diploma in Big Data and Analytical Intelligence.

    View document

    04 / Stack

    Technical stack

    Tools I use to create reliable pipelines, APIs, automations and analytics.

    Data Engineering

    Pipelines, ETL, SQL databases, data automations and BI-ready datasets.

    PythonSQLAirflowPandasNumPySQLAlchemyPyODBCPyMySQL

    Backend and APIs

    REST APIs, internal services, authentication, validation, documentation and integration layers.

    Node.jsExpressTypeScriptJavaScriptPythonFlaskPHPAPIs REST

    Real-time and Omnichannel

    Chat, live dashboards, events, telephony, webhooks and digital channels.

    Socket.IOWebSocketRooms and eventsWebhooksWhatsAppTelegramZenviaAsterisk/SIP

    Automation and Integrations

    Scheduled routines, corporate integrations, scraping and manual-work reduction.

    n8nSeleniumPM2cronWeb scrapingAPI integrationsTOTVSSenior

    Analytics and BI

    Modeling, dashboards, operational indicators and executive data consumption.

    Power BIData modelingOperational dashboardsHR metricsFleetFinanceCustomer serviceApexCharts

    Operational Frontend

    Administrative interfaces and dashboards used for operations, support and management.

    ReactViteTypeScriptMaterial UIMUI Data GridReact RouterReact QueryReact Hook Form

    Operations and Quality

    Deployment, support, logs, tests and maintenance of on-premise production services.

    LinuxsystemdDockerPM2cronJestSupertestpytest

    05 / Timeline

    Experience

    A path built across operations, systems, data and automation.

    2026 - Present

    Freelance Consultant / Data Engineering and Backend

    After Tellus, working on consulting and on-demand delivery across data engineering, automations, integrations, APIs and backend development for companies and operations.

    11/2020 - 01/2026

    Tellus Tecnologia / Backend, Data and Integrations

    Worked as Full Stack Developer and Data Analyst, owning data and integrations, backend technical leadership and production on-premise systems.

    Production impact

    APIs, BI, automations and omnichannel support

    Projects supporting around 6,000 service interactions/day, 10 integrated APIs, 15 BI dashboards and 25 data automation routines.

    Since 2016

    Freelance development, automation and data

    40+ clients served, 20 websites delivered and 50 office/data automations created, including web scraping, ETL, Excel and SQL consolidation.

    Education

    Big Data, analytics and software engineering

    Degree in Big Data and Analytical Intelligence from IESB and ongoing postgraduate studies in Software Engineering with Applied AI.

    06 / Context

    Differentials

    The mix of engineering and operational context is what makes the work useful.

    01

    Operational vision

    Practical experience with real processes, indicators, service workflows and operational bottlenecks.

    02

    Applied engineering

    Focus on building solutions that work in production, with logs, traceability and maintainability.

    03

    Decision-ready data

    Modeling and pipelines designed for analytical consumption, dashboards and executive monitoring.

    04

    Automation with context

    Automations built to reduce manual work, not just to use a tool.

    07 / Contact

    Let's build reliable systems.

    Available for Data Engineering, Backend and Automation opportunities. Remote / Brasília / Brazil.

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