Jesús Parra Torrijos

• • Technical Leadership: Lead technical strategy for US marketing data operations, defining architecture patterns and Infrastructure as Code (IaC) via Terraform for enterprise GCP environments and translating business requirements into scalable technical solutions.

• • Team Mentorship: Mentor junior engineers through code reviews and pair programming, improving code quality metrics and reducing production deployment errors by 25%.

• • Architecture Design: Architected serverless data solutions using Google Cloud Workflows and BigQuery, significantly reducing technical debt in legacy ETL pipelines and accelerating feature availability for downstream Data Science models.

• • Cost Optimization: Spearheaded cloud resource optimization initiatives, achieving 60% cost reduction through efficient parti tioning, clustering, and materialized view strategies.

• • Pipeline Engineering: Developed 50+ data pipelines using Dataform and Cloud Functions, reducing query execution time by 65% enabling real-time marketing attribution for campaigns with $10M+ spend.

• • Code Refactoring: Refactored legacy SQL/Python codebases to modularize logic, improving maintainability and testing coverage across the Global Data Team infrastructure.

• • Data Reliability: Implemented automated data observability and quality checks, reducing data downtime and incidents by 60%.

• • Cloud Architecture: Deployed enterprise Data Lake solutions on Azure Synapse Analytics, handling 800GB+ daily ingestion for Real Estate analytics.

• • Machine Learning: Designed and operationalized 4+ predictive models (time series forecasting, classification) using Scikit Learn/XGBoost for market analysis, bridging the gap between raw data ingestion and business-facing predictive insights. Infrastructure Management: Maintained Azure Data Factory pipelines and Databricks clusters for enterprise clients across Real Estate and Financial sectors.