Yassine El Boustani

I build and automate cloud-based data pipelines and services to support scalable data operations and analytics. 🧠 𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 • Designed & automated end-to-end ETL pipelines to ingest, clean, transform, and load data from diverse sources into cloud systems • Developed automated data export pipelines enabling one-click generation of customized datasets & reports • Built containerized data workflows using 𝗗𝗼𝗰𝗸𝗲𝗿 & 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 ensuring reliability, scalability, and CI workflows • Developed scheduled reporting systems generating daily automation-driven email reports via 𝗖𝗹𝗼𝘂𝗱 𝗥𝘂𝗻 • Implemented event-driven notification flows to proactively alert stakeholders based on data triggers & validation rules • Automated external file ingestion: fetch → cloud storage → transform → publish to platform APIs • Created internal automation templates improving pipeline delivery speed & consistency across projects • Delivered clean, structured, production-ready datasets for analytics & internal teams 🏆 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀 ✅ Reduced manual data handling effort by ~𝟵𝟬% through automation ✅ Delivered reusable automation architecture adopted across workflows ✅ Improved data reliability with automated validation & standardization 🛠️ 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 Python • SQL • GCP (Cloud Run, Cloud Functions, GCS, Cloud SQL, BigQuery) • Docker • Kubernetes • APIs • Data Quality Validation • Git • Cloud Scheduling

𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 • Built automated data pipelines to extract, clean, and load structured data into cloud environments • Designed and deployed scheduled data ingestion workflows using Google Cloud services • Standardized data formats and improved data processing reliability through validation and transformation logic • Assisted in automating recurring reporting tasks and supporting internal data workflows • Contributed to improving data quality by applying normalization rules and consistency checks 𝗞𝗲𝘆 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀 • Reduced manual data handling through automated ingestion and transformation processes • Improved data consistency and reliability for downstream analytics and internal systems

𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 • Developed interactive dashboards and reports in Power BI to support data-driven decision-making • Cleaned, transformed, and prepared datasets to ensure accuracy and meaningful insights • Performed data exploration and visualization to uncover trends and key performance indicators • Collaborated with stakeholders to understand reporting needs and translate requirements into data models • Applied best practices in data reporting, including data validation and performance optimization 𝗞𝗲𝘆 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀 • Delivered analytical dashboards that improved visibility into operational and business metrics • Enhanced data quality and clarity through systematic cleaning and transformation workflows

𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 • Developed and deployed a data-driven e-commerce platform integrating analytics into product and UX decisions • Applied data science techniques to analyze user behavior, identify engagement patterns, and improve conversion pathways • Built and evaluated recommendation logic to personalize the shopping experience and improve product visibility • Performed data preprocessing, feature extraction, and exploratory data analysis (EDA) to support decision-making • Collaborated with product and engineering teams using workflow and version control tools to deliver platform features 𝗞𝗲𝘆 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀 • Designed a recommendation prototype improving user interaction through personalized content • Delivered dashboards & insights used to improve user flows and product placement strategy • Strengthened ML & data experimentation foundation through practical real-world use case