
Senior Data Engineer
Proficient in Snowflake, SQL, Python, Postgres, dbt, and AWS (S3, Glue, Lambda), he has built multi-terabyte ingestion pipelines, developed Change Data Capture (CDC) frameworks using Streams and Tasks, and optimized data architectures to empower analytics teams.
His experience spans data modeling, real-time data ingestion, and query optimization through clustering and partitioning techniques. Known for combining hands-on pipeline development with strategic platform optimization, Antonio helps organizations achieve reliable, efficient, and cost-effective data operations.
Clients value his technical depth, attention to performance, and ability to translate complex data challenges into sustainable, business-driven solutions.
Engineering excellence
Antonio’s overall performance in a 90-minute live technical assessment ranks in the bottom 50% of vetted Senior Data Engineers at Proxify.
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