مصطفى نوفل

▪ Led requirement-gathering sessions with top management and stakeholders to understand business needs.
▪ Documented Business Requirement Documents (BRDs) and defined project scope and KPIs.
▪ Developed and tuned high-performance SQL queries on multi-billion-row datasets.
▪ Designed dashboard UI/UX prototypes using Figma.
▪ Delivered dashboards migration from Power BI to MicroStrategy.
▪ Skills: Apache Impala (Cloudera), SQL, Tableau, Power BI, MicroStrategy, Figma, Denodo and Snowflake.

AI Fashionist is where you can customize your own T-Shirts using AI advanced technology.
• Developed and designed the website providing a seamless user experience.
• Automated the image generation workflow, integrating user prompts with the backend AI model API.
• Led marketing campaigns, including video production and social media outreach .
• Enhanced AI-generated images for print quality ensuring high-resolution outputs.
• Managed customer inquiries and provided support.
• Using Webflow, Make.com automations, ChatGPT API, Amazon S3, Memberstack, Elfsight, Canva, Google Analytics.

Blue Ribbon is a sports management company specialized in the development and operation of sports clubs.

▪ Served as the sole technical team member, responsible for end-to-end data cycle tasks for one year.
▪ Documented 300 pages of data sources including business comments and ERD diagrams.
▪ Revamped our data collection process and cleansed all historical data to ensure data quality.
▪ Conducted meetings with stakeholders to gather dashboard requirements and feedback.
▪ Mapped business KPIs to our data sources like Odoo CRM, Mysql database, Paymob, Satra and Jolt.
▪ Implemented the ETL pipelines to extract data from sources and load them to the staging data warehouse.
▪ Developed and presented dashboards and reports to top management, department directors and managers (Accounting,
Marketing, Customer Experience, Procurement, Operations, Sports, Technology, HR, QHSE).
▪ Presented the data strategy to the CEO aligning the data roadmap with company goals.
▪ Successfully recruited 3 members in the data engineering and analysis team.
▪ Mentored the data team and followed up on project tasks by setting priorities and deadlines.
▪ Introduced new data architecture tools to the CTO to scale with the team size and new requirements.
▪ Defined data access rules and authority levels across the company to maintain data governance.
▪ Using Alteryx, Snowflake, Power BI, SQL, Excel, Python, Dbeaver, Drawsql, Postman and Clickup.