Leonardo Neuwald is a data engineer with over a decade of experience designing and running large-scale data pipelines across cloud and on-prem environments. Based in Rio Grande do Sul, Brazil, he earned a Bachelor's in Computer Science from UNESC and pursued graduate studies in Big Data and Data Science at UFRGS. In recent years he has focused on processing high-volume data, building near real-time ingestion and analytics pipelines using Spark, Scala, Delta Lake, Databricks, Azure, and Google Cloud, with streaming technologies like Kafka. His roles at AirDNA and Virtualmind since 2022, along with prior contributions at PicPay, Getnet, Globo, and Neogrid, illustrate a track record of delivering scalable data platforms that handle billions of events daily and replace legacy ETL with modern Spark jobs. He has hands-on experience across the full data lifecycle—from ingestion and storage to analytics and governance—familiar with tools like HDFS, Parquet, Delta Lake, Kafka, Airflow, and Azure Key Vault. A practical builder who bridges data engineering and software development, he thrives turning complex requirements into robust, auditable solutions.
10 years of coding experience
12 years of employment as a software developer
Bachelor's degree, Ciência da Computação, Bachelor's degree, Ciência da Computação at Universidade do Extremo Sul Catarinense
Graduate Studies, Big Data & Data Science, Graduate Studies, Big Data & Data Science at Universidade Federal do Rio Grande do Sul
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