Real-time Data Pipeline Specialist | GCP Data Engineer Expert.

I am a certified Google Cloud Professional Data Engineer specializing in designing, building, and maintaining robust, scalable data infrastructure on the Google Cloud Platform (GCP). My expertise transforms complex, raw data into streamlined, reliable pipelines that empower businesses with actionable intelligence and drive data-informed decision-making.

I partner with organizations to solve critical data challenges: migrating legacy systems to the cloud, constructing real-time and batch processing pipelines with Dataflow and Apache Beam, and building high-performance data warehouses on BigQuery. My work ensures data is not just collected but is fully operationalized—secure, cost-efficient, and ready for analytics and machine learning.

My approach is rooted in clear communication, meticulous architecture, and a focus on delivering tangible business value. I don't just build pipelines; I create the foundational data assets that enable growth, efficiency, and innovation.

Core Services Include:

End-to-End Data Pipeline Engineering: Design and implementation of automated ETL/ELT workflows using GCP's core services.

Cloud Data Migration: Seamless, secure migration of on-premise or multi-cloud data ecosystems to Google Cloud.

BigQuery Data Warehousing: Architecture, optimization, and management for scalable analytics.

Real-time Data Processing: Building streaming solutions with Pub/Sub and Dataflow/Composer for live insights.