Data Engineer building scalable and reliable data platforms. Certified in Snowflake and AWS, with hands-on experience also in Databricks, Spark, Kafka, Airflow, dbt. Currently exploring Large Language Models to bridge data and AI.
I'm Riccardo, a Data Engineer based in Novara with experience in consulting, enterprise, and startup environments. I specialize in designing and optimizing cloud data warehouses, real-time pipelines, and data platforms at scale. My expertise spans Snowflake, Databricks, AWS, Python, Java, Scala, and their main frameworks. I enjoy working in cross-functional teams, where I combine technical depth with business impact, and I'm currently expanding my skills in Large Language Models to connect data engineering with intelligent systems.
Contributing to a Scala/Spark ingestion framework and Databricks workflows for near real-time pipelines in a medallion architecture; integrating Kafka, Snowflake, dbt, Airflow, and Informatica in the insurance domain.
Built a 16+ TB Snowflake data warehouse and reduced daily processing time by ~30%. Optimized Scala/Kafka streaming and Java APIs for IoT and onboarded new real-time analytics use cases.
Built a 1+ TB data warehouse and Python/Talend/Airflow pipelines processing 50M+ records/month; migrated infrastructure to AWS to reduce costs and led a team of 5.
Developed a B2B Data-as-a-Service application using Java/Spring and Salesforce; integrated CRM tools and improved ETL with Talend.
Snowflake · 2025
Snowflake · 2023
Amazon Web Services · 2022
Oracle · 2019
Contributions to the open-source, high-performance self-hosted photo & video management platform.
An Arduino “barn door” star tracker implementation for long-exposure astrophotography.
A URI parser built in two languages using logic and functional paradigms (course project).
Python script to download course videos from Moodle/Kaltura (personal academic utility).