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I'm Joseph Hazze, a Senior AI Data Engineer with 7+ years of experience building scalable data platforms, ETL pipelines, and AI-driven data workflows across finance, retail, and telecom. I design modular, plug-and-play data solutions that speed up development and deliver reliable analytics, real-time insights, and AI-enabled data discovery. I enjoy collaborating with cross-functional teams to solve complex data challenges, migrate to cloud-native architectures, and optimize costs. My toolkit includes Python, SQL, Spark, Snowflake, Azure, AWS, Airflow, and Databricks, and I love turning messy data into actionable intelligence for business impact.…I'm Joseph Hazze, a Senior AI Data Engineer with 7+ years of experience building scalable data platforms, ETL pipelines, and AI-driven data workflows across finance, retail, and telecom. I design modular, plug-and-play data solutions that speed up development and deliver reliable analytics, real-time insights, and AI-enabled data discovery. I enjoy collaborating with cross-functional teams to solve complex data challenges, migrate to cloud-native architectures, and optimize costs. My toolkit includes Python, SQL, Spark, Snowflake, Azure, AWS, Airflow, and Databricks, and I love turning messy data into actionable intelligence for business impact.

Joseph Hazze

Full Stack Developer, Developer, Programmer, +7

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I'm Joseph Hazze, a Senior AI Data Engineer with 7+ years of experience building scalable data platforms, ETL pipelines, and AI-driven data workflows across finance, retail, and telecom. I design modular, plug-and-play data solutions that speed up development and deliver reliable analytics, real-time insights, and AI-enabled data discovery. I enjoy collaborating with cross-functional teams to solve complex data challenges, migrate to cloud-native architectures, and optimize costs. My toolkit includes Python, SQL, Spark, Snowflake, Azure, AWS, Airflow, and Databricks, and I love turning messy data into actionable intelligence for business impact.…I'm Joseph Hazze, a Senior AI Data Engineer with 7+ years of experience building scalable data platforms, ETL pipelines, and AI-driven data workflows across finance, retail, and telecom. I design modular, plug-and-play data solutions that speed up development and deliver reliable analytics, real-time insights, and AI-enabled data discovery. I enjoy collaborating with cross-functional teams to solve complex data challenges, migrate to cloud-native architectures, and optimize costs. My toolkit includes Python, SQL, Spark, Snowflake, Azure, AWS, Airflow, and Databricks, and I love turning messy data into actionable intelligence for business impact.

Available to hire

I’m Joseph Hazze, a Senior AI Data Engineer with 7+ years of experience building scalable data platforms, ETL pipelines, and AI-driven data workflows across finance, retail, and telecom. I design modular, plug-and-play data solutions that speed up development and deliver reliable analytics, real-time insights, and AI-enabled data discovery.

I enjoy collaborating with cross-functional teams to solve complex data challenges, migrate to cloud-native architectures, and optimize costs. My toolkit includes Python, SQL, Spark, Snowflake, Azure, AWS, Airflow, and Databricks, and I love turning messy data into actionable intelligence for business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior AI Data Engineer at Invisible Technologies

June 1, 2024 - Present

Engineered modular plug-and-play data platforms for finance, retail, and telecom clients using Python, Airflow, and dbt, improving developer velocity by ~45%. Built real-time pipelines processing 50M+ records daily using GCP Dataflow, Pub/Sub, Snowflake, and AI-based schema detection, powering analytics and actionable insights. Implemented AI-augmented analytics to enhance data discovery and accelerated insight delivery. Led large-scale data migrations to cloud-native platforms and built RAG pipelines with LangChain to validate and enrich legacy data for downstream AI systems. Delivered real-time analytics on cancellations and retention using CDC pipelines with Azure Synapse, Airflow, and DBT, enabling faster churn insights and improved booking reliability.

Data Platform Engineer at StyleSeat

January 1, 2021 - May 1, 2024

Built scalable Azure-based batch and real-time data pipelines to unify beauty marketplace data across bookings, payments, and user activity, enabling reliable business analytics. Developed high-throughput ETL using Azure Databricks, processing streaming and historical data to support low-latency reporting on revenue, supply, and demand trends. Delivered real-time analytics on cancellations and retention using CDC pipelines with Azure Synapse, Airflow, and DBT. Migrated data platform infrastructure to automated, cloud-native Azure deployments, integrating AI-driven workflow orchestration to improve scalability and reduce operational costs by 15%.

Full Stack Software Engineer at Atlassian

January 1, 2021 - October 14, 2025

Directed backend development and optimized core features across multiple applications using Node.js and Express, integrating with a React-based frontend. Enhanced API performance and scalability, supporting over 1 million daily users with a responsive Angular interface. Managed the migration of legacy systems to modern architectures, utilizing MongoDB and Node.js to improve security and compliance.

Senior Full Stack Engineer at Visionet System

January 1, 2021 - Present

Developed a high-performance backend system using Node.js and Express, handling over 1,000 financial transactions daily, with a React frontend for a seamless user experience. Led a team in upgrading an enterprise application, enhancing security and functionality across the MERN stack. Integrated data analytics with MongoDB, processing over 500,000 records weekly for real-time reporting and insights.

Full Stack Software Engineer at Atlassian

January 1, 2021 - October 14, 2025

Senior Full Stack Engineer at Visionet System

January 1, 2021 - Present

Full Stack Software Engineer at Atlassian

January 1, 2021 - October 14, 2025

Directed backend development and optimized core features across multiple applications using Node.js and Express, integrating with a React-based frontend. Enhanced API performance and scalability to support over 1 million daily users with a responsive Angular interface. Managed migration of legacy systems to modern architectures improving security and compliance.

Senior Full Stack Engineer at Visionet System

January 1, 2021 - Present

Developed a high-performance backend system using Node.js and Express, handling over 1,000 financial transactions daily, with a React frontend for a seamless user experience. Led a team upgrading an enterprise application, improving security and functionality across the MERN stack. Integrated data analytics with MongoDB to enable real-time reporting and insights.

Full Stack Software Engineer at Atlassian

January 1, 2021 - October 14, 2025

Senior Full Stack Engineer at Visionet System

January 1, 2021 - Present

Developed a high-performance backend system using Node.js and Express to handle over 1,000 financial transactions daily, with a React frontend for a seamless user experience. Led a team in upgrading an enterprise application across the MERN stack, improving security and functionality. Integrated data analytics with MongoDB to process over 500,000 records weekly for real-time reporting and insights.

Full Stack Software Engineer at Atlassian

January 1, 2021 - July 30, 2025

Senior Full Stack Engineer at Visionet System

January 1, 2021 - Present

Developed a high-performance backend system using Node.js and Express, handling over 1,000 financial transactions daily, with a React frontend for a seamless user experience. Led a team in upgrading an enterprise application, enhancing both security and functionality across the MERN stack. Integrated data analytics with MongoDB, processing over 500,000 records weekly for real-time reporting and insights.