Data Engineer specializing in Google Cloud Platform and modern data infrastructure. I build scalable data platforms, analytics applications, and automated pipelines that bridge the gap between data engineering and full-stack development.

I'm a data engineer with deep expertise in Google Cloud Platform, currently transitioning into full-stack development to build end-to-end data products. My focus is on creating production-ready systems that are both technically robust and user-friendly.

What drives me:

• Building elegant solutions to complex data problems
• Creating self-service data platforms that empower teams
• Automating infrastructure and reducing manual overhead
• Writing clean, maintainable code that others can understand

Building a Harness-inspired platform with workspace management, team-based GCP project scoping, and customizable dashboards. Built with Next.js, shadcn-ui, and BigQuery as a metadata store.

Tech: Next.js, TypeScript, shadcn-ui, BigQuery, Terraform

Developed a Streamlit application for Google Cloud's Conversational Analytics API with per-user BigQuery permissions and secure authentication flows.

Tech: Python, Streamlit, FastAPI, BigQuery, Cloud Run

Created modular Terraform configurations for BigQuery Analytics Hub, managing data exchanges, listings, and cross-project resources with proper data governance controls.

Tech: Terraform, Google Cloud, BigQuery, Analytics Hub

Cloud & Infrastructure

• GCP Services: BigQuery, Dataform, Composer (Airflow), Cloud Run, Vertex AI, Analytics Hub
• IaC & CI/CD: Terraform, Harness Pipelines
• Containers: Docker, Cloud Run deployments

Backend & Data Engineering

• Languages: Python, SQL
• Frameworks: FastAPI, Flask
• Data Processing: Pandas, NumPy, Apache Airflow
• Observability: Custom dashboards, logging frameworks

Frontend & Full-Stack

• Frameworks: Next.js, React, TypeScript
• UI Libraries: shadcn-ui, Tailwind CSS
• Rapid Prototyping: Streamlit
• ORMs: Drizzle ORM

Data Science & ML

• Libraries: TensorFlow, Keras, scikit-learn
• Visualization: Matplotlib, Plotly, Seaborn
• Tools: Jupyter, Google Colab

Other Skills

• Git version control
• API development and integration
• Database design and optimization
• Data governance and security

• Advanced React patterns and state management
• Modern UI/UX design principles
• Scalable backend architecture patterns
• Business intelligence tools and semantic layers
• Cybersecurity fundamentals for data platforms

• Data Platform Engineering: Building unified platforms that consolidate data tools
• BI Tool Development: Exploring alternatives to traditional BI tools with better developer experience
• Infrastructure Automation: Dynamic provisioning patterns and infrastructure-as-code
• Observability: Creating comprehensive monitoring and alerting systems
• Entrepreneurship: Exploring opportunities in cybersecurity and data platform spaces

Data Engineer

• Designed and implemented OAuth-authenticated data analytics applications on GCP
• Built automated pipeline generation tools for Vertex AI deployments
• Created modular Terraform infrastructure for multi-project data sharing
• Developed observability dashboards for monitoring data pipelines
• Implemented data governance controls with PII policy tag enforcement

• Problem Solving: Breaking down complex problems into manageable, actionable solutions
• System Design: Architecting scalable, maintainable data infrastructure
• Code Quality: Writing clean, documented, production-ready code
• Learning Agility: Quickly picking up new technologies and frameworks
• Practical Focus: Preferring working solutions over theoretical perfection

When I'm not coding, I'm exploring new technologies, reading about system design patterns, and thinking about the next big problem to solve in the data engineering space.