Abdelhamid
SAIDI
About Me
As a Software Engineering student @FST Settat with a strong passion for data engineering and analytics, I enjoy designing and working with databases, building pipelines, and exploring data to extract meaningful insights.
I have worked on projects ranging from data warehousing and analytics to cloud-based solutions. My focus is on applying modern tools and best practices to create scalable, efficient, and insightful data solutions.
If you find my profile interesting, let's connect! I'm always open to exchanging ideas, collaborating, and learning from others in the data field.
To transform raw data into actionable insights that drive business growth and innovation.
Experience
Data Engineering Intern
Ministry of Digital Transition and Administration Reform - Morocco- Built a unified administrative database by integrating and harmonizing data from multiple government systems, implemented Python-based deduplication and normalization to ensure clean, unique, and searchable records, and optimized relational database indexing, data structures, interoperability, and overall data consistency.
Technical Skills
Programming Languages
Data Analysis & Python Ecosystem
Data Engineering Tools & Concepts
Data Visualization & Reporting
Data Orchestration & Workflow Tools
Big Data & Analytics Platforms
databases
Cloud Platforms
Tools & Technologies
Certifications & Credentials
Education
2024 – Present
2022 – 2024
Featured Projects
Built an end-to-end GCP pipeline with Mage, BigQuery, and Looker Studio for automated data ingestion and real-time analytics.
Built an end-to-end data warehousing solution in SQL Server using the Medallion architecture for integrated business analytics.
An AWS-based ETL pipeline that automates the processing and analysis of YouTube trending videos data, converting raw files into optimized datasets for analytics-ready insights
End-to-end Azure ETL and analytics pipeline processing Tokyo 2020 Olympics data using Data Factory, Databricks, and Synapse.
Comprehensive exploration of global COVID-19 data (2020–2021) with SQL analytics and Tableau dashboards highlighting key pandemic patterns.
A Python-based web scraping project that extracts and analyzes trending GitHub repositories across all Topics pages, generating structured CSV datasets for data exploration and research