Open to work Remote / hybrid across Europe Belgium based

Career focus

Automation & Data Engineer

I build reliable data systems, real-time dashboards, and automation workflows using Python, SQL, APIs, and AI-assisted tools.

Based in Belgium · Open to junior / entry-level data engineering, automation, and software roles · Remote or hybrid across Europe

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Python SQL APIs Dashboards MQTT AI workflows

About

Software, data engineering, and automation together.

I combine software development, data engineering, and automation to build practical systems that turn operational data into useful dashboards, alerts, and workflows.

How I work

Build useful systems around real operational needs.

My focus is on clear, reliable tools: scripts that remove manual work, data checks that make reporting more trustworthy, APIs that connect systems, and dashboards that help people understand what is happening without digging through raw data.

Technical Focus

Where I can contribute.

Recruiter-friendly summary of the technical areas I am building around and looking to use in a professional role.

Python automation

Scripts, data processing, recurring tasks, and workflow helpers.

SQL and data validation

Queries, checks, comparisons, and validation for trustworthy data.

APIs and webhooks

Connecting systems and moving data between tools and services.

Real-time monitoring

Telemetry, status views, threshold checks, and alert flows.

Dashboards and reporting

Operational views that make data easier to inspect and act on.

AI-assisted workflows

Structured outputs and AI-supported automation for business tasks.

Data pipelines

Ingestion, transformation, validation, and delivery patterns.

Operational systems

Tools for teams that need reliability, visibility, and fast feedback.

Featured Project / Case Study

Sonaca real-time monitoring proof of concept.

A practical example of my interest in live data, monitoring, dashboards, alerts, and SQL-backed validation.

Case study

Real-time monitoring in an aerospace manufacturing environment

Real-time monitoring proof of concept in an aerospace manufacturing environment. The system processed live machine data, displayed real-time dashboards, handled alerts, and included SQL-backed validation.

It was designed to make operational machine data easier to monitor, understand, and act on. For employers, the relevant patterns are live ingestion, data validation, dashboard design, alert logic, and practical communication with operational stakeholders.

Data flow

Live machine telemetry was transformed into dashboard-ready data.

Visibility

Operational status and alerts were made easier to inspect quickly.

Validation

SQL-backed checks supported comparison and troubleshooting.

Skills

Grouped skills for technical roles.

Languages

Python, SQL, JavaScript / TypeScript

Data

PostgreSQL, data validation, dashboards, reporting

Automation

APIs, webhooks, scripts, workflow automation

Real-time systems

MQTT, telemetry, monitoring, alerts

Tools

Git, VS Code, Docker basics, cloud/deployment basics

AI

OpenAI API, AI-assisted workflows, structured outputs

What I'm Looking For

Roles where data and automation solve real problems.

I’m open to roles where I can work on data engineering, automation, internal tools, dashboards, monitoring systems, and AI-assisted business workflows.

Role

Junior Data Engineer

Role

Automation Developer

Role

Python Developer

Role

Data / BI Developer

Role

Internal Tools Developer

Contact

Interested in working together?

Contact me or connect on LinkedIn.

Email georgescumvlad@gmail.com

LinkedIn linkedin.com/in/vlad-georgescu-dev

GitHub github.com/vladgme

Contact me LinkedIn