Professional Experience

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

Cloud Data Engineer & Consultant

03/2026 – Present

— Architected a real-time data synchronization framework using Change Data Capture (CDC) to ingest transactional records from Cloud SQL into BigQuery, ensuring zero-impact on production performance.
— Automated full-stack cloud infrastructure provisioning through Terraform, implementing Infrastructure as Code (IaC) best practices to guarantee environment consistency, auditability, and rapid disaster recovery across Google Cloud Platform.
— Engineered a secure, healthcare-compliant data architecture by implementing robust logging sinks and data retention policies aligned with HIPAA standards, prioritizing data privacy and regulatory integrity.
— Spearheaded the design and implementation of a scalable data warehouse utilizing a Medallion architecture, establishing rigorous data validation and transformation pipelines to convert raw operational data into highly reliable, analytics-ready schemas.
— Optimized cloud resource utilization and query performance by applying strategic FinOps principles, designing efficient foundational data models that power high-fidelity executive dashboards and business intelligence reporting.

Terraform BigQuery Cloud Run Looker Studio GCP

12/2025 – Present

— Architected a nightly batch Data Warehouse in Google BigQuery, ingesting data from Square ecosystem and other releavant data sources.
— 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