Benicio C

Designed, built, and optimized scalable production data platform pipelines using Dataform, dbt, and data modeling techniques (including Star/Snowflake concepts). Delivered robust ETL/ELT workflows for both batch and streaming, improving platform efficiency and cloud performance while tracking FinOps metrics. Led automated monitoring to track pipeline health, data lineage, and compute cost. Championed data governance practices, metadata cataloging, and data quality frameworks using GCP tooling (including Dataplex), maintaining critical ingestion/transformation pipelines for high availability. Also modernized BigQuery data warehouses and developed semantic layers and Looker/LookML explorations for BI deployments.

Data engineering specialist building and optimizing production-grade data platforms. Designed and deployed scalable batch/stream ETL/ELT pipelines using data form, dbt, and data bricks; applied star/snowflake modeling to transform raw pools into analytics-ready datasets. Automated complex workflows to maximize platform efficiency, cloud performance, and FinOps metrics. Led data governance adoption with metadata cataloging and data quality frameworks using GCP tooling (DataPlex). Designed and modernized enterprise data architectures and BigQuery data warehouses for tier-1 corporate clients. Spearheaded implementations of core GCP data technologies including BigQuery (performance tuning), Dataflow, Pub/Sub, and Cloud Composer; created semantic layers, explores, and managed Looker/LookML-based BI deployments. Developed automated monitoring for pipeline health, data lineage, and cloud compute costs; ensured zero-downtime ingestion/transformation operations and improved data platform reliab

Led enterprise data platform and analytics initiatives across GCP, Databricks, and Azure. Architected scalable cloud infrastructure and high-throughput data products, designed and deployed automated monitoring frameworks for pipeline health, lineage, and cloud costs. Spearheaded implementation of data governance, metadata cataloging, and data quality frameworks using GCP tools. Built and optimized complex data architectures and BigQuery warehouses for tier-1 corporate clients, including hands-on delivery of core GCP data technologies (BigQuery performance tuning, Dataflow, Pub/Sub, Cloud Composer). Developed semantic layers and managed BI deployments using Looker/LookML, and guided customers through technical best-practice workshops.