At Tranzact, I led the Databricks proof of concept for a US insurance company, standardizing multi-carrier data into a model that evolved into a production pipeline still in use.
I built Azure Databricks pipelines with PySpark, Python, and SQL, loading data into Delta Lake medallion layers. I also delivered real-time streaming with AWS Kinesis and Spark Structured Streaming.
By optimizing PySpark jobs and SQL queries, I cut report generation time by 25% on historical loads and resolved out-of-memory failures without scaling cluster resources. I added validation, reconciliation, automated tests, and production recovery support to protect pipeline quality.
Earlier, at Globokas Perú, Setours Handcrafted Journeys, and Fortel Customer Experience & BPO, I developed .NET APIs and applications, integrated payment providers, and modernized ERP workflows. I bring that backend and API integration experience alongside my data engineering work.

