Miguel Fernandez is a Senior Data Engineer with 10+ years building and architecting large-scale data platforms across finance, healthcare, and SaaS environments from Valencia, Spain. He blends deep hands-on experience in Hadoop-era tooling (MapReduce, Hive, Impala) with modern streaming and cloud pipelines (Kafka, Debezium, Spark, Snowflake, DBT) and has led teams as Big Data Architect and Tech Lead. At Birdie and Grupo GFT he delivered production-grade pipelines, contributed to a Debezium feature, and applied observability and data-quality practices like Prometheus, Grafana, and Great Expectations. He also teaches Apache Spark at Datahack School, reflecting a commitment to continuous learning and mentorship. Known for pragmatic design and performance tuning, Miguel often bridges legacy VLDB and real-time cloud architectures to meet strict regulatory and scalability requirements.
10 years of coding experience
19 years of employment as a software developer
Big Data Analytics Degree Big Data, Big Data Analytics Degree Big Data at UPV
Master's degree Computer Science, Master's degree Computer Science at Universidad de Murcia
Contributions:32 pushes, 1 branch in 1 year 1 month
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