Richard Alfonso Leon

I’m a Senior Data Engineer with 10 years of experience designing resilient data platforms, streaming ingestion systems, lakehouse architectures, and analytics infrastructure for enterprise-scale products. I translate complex business and product data needs into reliable batch and real-time pipelines that support trusted decision-making.

Day to day, I build governed data models, reusable orchestration frameworks, and performance-optimized analytical datasets. My most recent work focused on enhancing data quality, reducing pipeline latency, controlling compute costs, and enabling self-service analytics for engineering, finance, and operations teams.

I’ve delivered platform capabilities across cloud-native environments using Python, SQL, Kafka, Kubernetes, Spark, Airflow, dbt, Snowflake, BigQuery, and AWS/GCP. I’m especially strong in distributed systems, event-driven architecture, data observability, schema governance, and production support—turning reliability goals into practical engineering systems.

Across healthcare and enterprise applications, I’ve introduced data quality checkpoints, schema validation, lineage documentation, and alerting to reduce failed loads and improve trust. I also mentor engineers and lead platform design reviews, helping teams ship secure, maintainable data solutions while improving SLAs through monitoring reconciliation and anomaly detection.