Joel Iglesias

Data Engineer @Meta

US

Data Processing Architecture: Designed and built scalable systems for new data and ETL pipelines, ensuring efficient processing and accessibility of critical datasets. • Privacy Mitigation Systems: Led the development of privacy-compliant cohort-based workload distribution systems, integrating UI scrapes and feeding internal dashboards for actionable insights. • Pipeline Optimization: Implemented strategies that reduced pipeline consumption by 95%, delivering substantial cost savings and operational efficiency. • On-Call Analytics Support: Served as the Privacy TA Analytics Oncall, managing tasks such as job failure resolution, backfills, schema updates, and responding to data access requests. • Collaboration and Reporting: Worked closely with data scientists and stakeholders to create dashboards, generate reports, and conduct ad-hoc analyses to inform strategic decisions. • Regulatory Compliance: Supported regulatory efforts by generating evidence for FTC assessors, contributing to Meta’s compliance initiatives. • Automation and Process Improvement: Automated manual tasks and streamlined processes to enhance pipeline reliability and minimize resource usage.Achievements: • Efficiency Gains: Optimized pipeline operations, achieving a 95% reduction in resource consumption for key workflows, significantly enhancing system performance. • Data Quality Enhancements: Ensured high data quality and reliability across multiple pipelines, enabling accurate reporting and analytics. • Regulatory Support Excellence: Successfully developed and provided critical data evidence to support compliance with FTC regulatory requirements. • Stakeholder Impact: Played a key role in the creation of tools and dashboards that improved data visibility and informed business decisions. • Privacy Leadership: Improved privacy mitigation processes, balancing workloads across reviewers and strengthening Meta’s data privacy framework.

CIMAT

Master's degree

Universidad de Guadalajara

Bachelor's degree