Professional Experience

My journey as a Data Engineer and Architect, building scalable solutions.

Cloud Data Engineer & Consultant

12/2025 – Present

— Architected a nightly batch Data Warehouse in Google BigQuery, ingesting transactional data from Square.
— Deployed GA4 Server-side tagging on Cloud Run using Docker, optimizing marketing attribution.
— Engineered a scalable GCP-based data architecture integrating scheduling, payments, and website analytics.
— Automated actionable insights delivery via Google Looker Studio.

BigQuery Cloud Run Docker Looker Studio GCP

07/2025 – Present

— Designed and implemented ETL pipelines processing ~1GB/day of compressed JSONL data using AWS serverless.
— Migrated cloud infrastructure to Terraform (IaC).
— Implemented the Medallion Architecture (Bronze, Silver, Gold layers) using Parquet.
— Established data engineering rigor with Pydantic and Pandera.
— Built denormalized OLAP tables for Plotly Dash visualizations.
— Integrated LLM-based reasoning with MCPs.

AWS Terraform Medallion Python Plotly Dash

05/2021 – 11/2024

— Orchestrated ETL processes to transform diverse raw data sources into structured SQL databases.
— Automated lead generation workflows with Python machine learning segments.
— Developed interactive Power BI dashboards for senior management.
— Conducted scenario analyses for new financial products.

Python SQL Power BI Machine Learning

09/2018 – 05/2021

— Optimized operational costs through data-driven analysis of inventory and customer preferences.
— Executed complex SQL queries for basket analysis and loyalty programs.

SQL Data Analysis Optimization