Patrick Antonacci

Background

About Patrick Antonacci

Positive and energetic Data Engineer with over 9+ years of experience designing and optimizing scalable data architectures, pipelines, and models on cloud platforms, including GCP. Proven expertise in BigQuery, Airflow, dbt, Vertex AI, and Python to deliver efficient ETL/ELT workflows that support advanced analytics, product, and machine learning initiatives. Adept at collaborating with cross-functional teams to translate business requirements into technical solutions learned from my time as a consultant. I’m certified as a Google Cloud Professional Data Engineer and dbt Developer, and I’m passionate about creating cost-efficient, automated data workflows, integrating ML & GenAI/LLMs, and helping teams become data-driven. Technical Skills: • Cloud & Data Platforms – Google Cloud Platform (GCP), BigQuery, dbt Cloud, Stitch, Airflow, Snowflake, Redshift, PostgreSQL, MongoDB, AWS • Data Engineering & Modeling – Data Architecture & Pipeline Design, ETL/ELT Development, Data Warehousing, KPI Modeling, Data Governance & Documentation, Event Tracking • Analytics & BI Tools – Looker, Looker Studio, Metabase, PostHog • Programming & Automation – Python (Pandas, Numpy, Scikit-Learn), SQL, R, Git, CI/CD for Data Pipelines • Machine Learning & GenAI – Vertex AI, Gemini LLMs, BigQuery ML, Predictive Modeling