I'm Ibrahim Ghali. I live in Sfax, where I make it happen.

Many organizations struggle with unreliable data, slow reporting, and systems that don’t scale as the business grows. These issues reduce trust in insights and delay critical decision-making.

As a Data Engineer, I ensure that the right data reaches the right people at the right time. I build reliable systems that collect, clean, and organize information so teams can make informed decisions quickly. My work creates a strong foundation for analytics, automation, and AI across the organization.

If you’re looking for someone who combines strong technical execution with a clear business mindset, I’m always open to meaningful conversations.⚡

Soft Skills

Ownership and leadership mindset: I take full responsibility for the systems I build, proactively drive initiatives forward, and collaborate effectively with cross-functional teams to deliver results.

Ability to work with little supervision: I understand people are busy and would love to get things done timely, so I do my best in delivering assignments and projects with little supervision, sparing you the need to closely manage/oversee my work.

Ability to perform under pressure: I stay focused and solution-oriented during tight deadlines, production incidents, and high-stakes situations, ensuring continuity and reliability of critical data workflows.

What I bring as a Data Engineer

Big Data & Streaming: Leverage platforms like Apache Kafka, Spark, Hadoop, Trino, and ELK Stack to process massive datasets in real time, enabling faster business decisions and actionable insights.

Data Orchestration & Transformation: Build automated, reliable pipelines with Airflow and dbt that ensure clean, consistent, and timely data delivery, reducing operational risks and supporting strategic initiatives.

Data Acquisition & Automation: Implement scalable data collection and automation using Scrapy, BeautifulSoup, and Playwright, providing the organization with comprehensive and up-to-date datasets to fuel analytics and AI projects.

Database & Storage Management: Optimize PostgreSQL, MySQL, MongoDB, and Elasticsearch systems to ensure high performance, reliability, and accessibility of business-critical data for stakeholders.

Production & Deployment Excellence: Utilize Linux, Git, Docker, GitLab CI/CD, and Jenkins to deliver reproducible, maintainable, and automated data systems, minimizing downtime and accelerating time-to-insight for decision-makers.