Pablo Rodriguez is a Lead Data Engineer with 11 years of experience designing and operating large-scale data platforms across cloud and on-prem environments, currently based in A Coruña, Spain. He has led lakehouse and data warehouse initiatives, architecting ETL/ELT pipelines, observability, and ML model serving using tools like PySpark, Airflow, Delta Lake, BigQuery and Prometheus. Pablo combines deep data engineering expertise with a longstanding background in full-stack Ruby on Rails development, enabling pragmatic end-to-end solutions and smoother migrations from monoliths to microservices. He has driven migrations of decades of historical data to cloud warehouses, built search and analytics engines, and evaluated cutting-edge technologies such as ClickHouse, DuckDB and delta-rs through hands-on POCs. Known for mentoring teams and bridging data science and engineering, he often pairs production-grade pipelines with robust data quality practices (Great Expectations, Pydantic). An engineer who still codes and prototypes, Pablo brings both architectural vision and practical implementation skills to complex data problems.
11 years of coding experience
16 years of employment as a software developer
Master's degree Computer Engineering, Master's degree Computer Engineering at Universidade da Coruña
Contributions:1 push, 1 branch in 4 years 3 months
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