Data Engineer | Cloud Data Platforms | Football & Sports Technology

I'm a Data Engineer with 3+ years of professional experience designing, building, and maintaining data pipelines, data warehouses, and cloud-based data infrastructure across Football, FinTech, EdTech, Food & Beverage, and Software industries.

My work focuses on turning complex and fragmented data into reliable, accessible, and maintainable systems that support operational and business decisions.

Currently working with Right to Dream, I've been combining data engineering with football performance analytics, scouting workflows, and internal tools, while bringing experience from data platform and automation projects across other industries.

• Data Engineering & Integration: Develop ETL/ELT pipelines, API integrations, batch processing, and data ingestion workflows.
• Data Warehousing & Modeling: Design analytical data models, dimensional schemas, transformations, and data quality processes.
• Cloud Data Infrastructure: Build and maintain data solutions across cloud services, relational databases, and modern data platforms.
• Orchestration & DevOps: Work with workflow orchestrators, Docker, Git-based development, and CI/CD pipelines.
• Analytics & Applications: Connect data engineering with reporting, operational workflows, and internal applications.

Independent Football Data Engineering Project

An independent portfolio project exploring end-to-end football data engineering workflows, from data ingestion and storage to transformation, orchestration, and analytics.

Technologies: Python · PostgreSQL · Snowflake · dbt · Apache Airflow · Docker · Power BI

An independent educational project, not affiliated with or endorsed by Brentford FC.

Professional Experience | Right to Dream & FC Masar

Designed and developed a dedicated, dbt-based analytical data layer supporting football performance reporting for Right to Dream Egypt Academy and FC Masar Men's and Women's teams.

The solution supports performance workflows involving GPS, RPE, and physical testing data, making information more accessible and relevant to coaching and performance staff.

Technologies: SQL Server · Azure SQL · dbt · Power BI

Professional Experience | Right to Dream Egypt

Built and deployed a scouting application supporting football scouting operations and cross-departmental workflows.

Worked on data modeling, data quality, player and report management, assessment visibility, role-based workflows, and application deployment.

Technologies: Python · Streamlit · Azure SQL · GitHub Actions · CI/CD

Professional projects are summarized at a high level. Proprietary source code, internal systems, and confidential organizational data are not publicly shared.

• FinTech — Axis Pay: Improved an ELT pipeline's runtime by approximately 62%, reducing processing time from 1.5–2 hours to 30–50 minutes using a stack involving Airbyte, dbt, Kestra, and PostgreSQL.
• EdTech — Educatly: Developed data warehousing and ingestion infrastructure using AWS, PostgreSQL, Kafka-based CDC, Python, and Mage.ai.
• Food & Beverage — Cilantro: Built inventory management and reporting solutions, automated operational processes, and developed ETL workflows using Python, SQL Server, and Microsoft data tools.

I'm continuing to strengthen my expertise in:

• Cloud data architecture, infrastructure, and platform engineering
• Data modeling, data quality, and reliable data pipelines
• CI/CD, automation, orchestration, and infrastructure as code
• Football analytics, athlete performance data, and sports technology

I'm open to remote Data Engineering opportunities worldwide and international onsite positions with relocation and visa sponsorship.

I'm particularly interested in football clubs, academies, sports technology companies, and organizations building impactful data products, while remaining open to opportunities across other industries.

• 💼 LinkedIn: linkedin.com/in/marc-sanad
• 💻 GitHub: github.com/Marcoc51
• 📧 Email: marcsanad@gmail.com