Emad Abuzeid Alvarez

Telefónica

Leading data engineering teams and architecting scalable, cost-effective data platforms on Google Cloud for Telefónica's Chief Data Officer unit. Designing and modeling business intelligence data lake/warehouse architecture while implementing governance and security policies.

• Led and mentored two data engineering teams (6 people total), boosting feature delivery by 60% and reducing project timelines by 30%
• Designed and modeled a scalable and cost-effective BI data lake/warehouse architecture on Google Cloud, implementing data governance and security policies
• Optimized and migrated six Cloud SQL databases, improving performance by 40% and reducing maintenance time by 25%
• Refactored the data processing framework, resulting in a 70% average performance improvement
• Built a framework for real-time data pipelines with Spark, Kafka, and Hadoop, reducing costs by 65%
• Implemented a local execution environment for ETL frameworks, improving project agility by 80% and reducing implementation time by 40%
• Collaborated effectively with multiple teams across Telefónica IoT and the Video Platform for aligned cross-functional work
• Saved over €80k on infrastructure in one year

Bluetab (IBM Company)

Designed and governed data architecture solutions for BBVA, creating Scala/Spark frameworks and monitoring systems that enabled 40 data engineers and 10 teams.

• Enabled 40 data engineers with expert solution design support, reducing project delivery time by 30%
• Created and maintained Scala/Spark-based frameworks, enabling 10 teams to improve productivity by 25%
• Collaborated with managers, data scientists, analysts, and engineers to translate business needs into architecture solutions, improving project delivery by 15%
• Optimized Scala/Spark processes, reducing process time by 30% across multiple workflows
• Designed and developed a data lifecycle system on on-premise cloud, achieving 30% savings in storage costs for area projects
• Conducted code reviews and supervised 40 developers, ensuring adoption of best practices and reducing bugs in production
• Designed and developed a monitoring and observability system for 500+ processes using Spark and Looker, cutting operational costs by 30%
• Led and mentored a team of new developers, accelerating onboarding through training and task delegation

Grupo AVALON

Built data processing pipelines for Santander's business intelligence platform, developing Scala/Spark and PySpark processes and designing cost-efficient data pipelines on hybrid cloud with AWS.

• Developed Scala/Spark and PySpark processes for business intelligence projects, improving processing efficiency by 20%
• Created Spark processes based on non-technical requirements, reducing development time by 25% and improving stakeholder alignment
• Designed data pipelines to reduce cluster costs on hybrid cloud with AWS
• Translated Hive/Impala processes to Spark code, increasing clarity and maintainability by 40% and reducing technical debt