Enterprise BigQuery & Dataflow Lakehouse
High-throughput automated ETL/ELT platform ingesting millions of daily transactional events into BigQuery with partitioned schemas and Airflow orchestration.
Full-Stack & Cloud Engineer focused on Google Cloud, DevOps, Data Engineering and AI.
Architecting resilient cloud systems, scalable data pipelines, and production full-stack software.
Production infrastructure design, serverless workloads, container orchestration, and multi-service Google Cloud integration.
Designing fault-tolerant, secure, and auto-scaling distributed architectures built for zero-downtime operations and cost optimization.
Automating build, test, and release pipelines with containerized workflows and automated quality gates.
Building reliable batch and streaming ETL/ELT pipelines for analytical warehousing and transactional data stores.
Developing modern responsive client applications backed by resilient, secure microservice APIs.
LLM integration, autonomous agent workflows, document extraction, and intelligent task automation.
Cross-platform mobile apps, offline-first syncing, push notifications, and Google Play Store publishing.
Visual blueprints demonstrating cloud-native infrastructure, automated CI/CD delivery, and event-driven data flow.
Automated continuous integration and rolling deployment to Google Cloud workloads:
End-to-end data lifecycle from source ingestion to real-time analytics:
Production systems built across cloud, data engineering, full-stack microservices, and mobile platforms.
High-throughput automated ETL/ELT platform ingesting millions of daily transactional events into BigQuery with partitioned schemas and Airflow orchestration.
High-concurrency multi-tenant SaaS application featuring containerized Java/Node.js microservices running on Cloud Run with an Angular single-page frontend.
Cross-platform mobile application live on Google Play, featuring offline-first storage, real-time Firebase synchronization, and background notifications.
Serverless event-driven processing workflow leveraging LLM agent reasoning, Cloud Functions, and vector embeddings to extract structured records from unstructured documents.
Industry-recognized credentials verified through the Credly platform.
Production Android applications engineered and published on the Google Play Store.
Full-Stack & Cloud Engineer with experience designing production Google Cloud infrastructure, high-throughput data platforms, and resilient software services.