I am a Senior AI & Data Engineer who loves building scalable data platforms and automation that empower teams to derive insights quickly. I design modular, plug-and-play data solutions and partner with business teams to turn data into actionable outcomes. With 7+ years of experience across aviation, healthcare, fintech, e-commerce, legal tech, and beauty & fashion, I’ve led cloud migrations, real-time streaming initiatives, and AI-driven analytics that boost velocity and impact across organizations.

Joseph H Zaidi

I am a Senior AI & Data Engineer who loves building scalable data platforms and automation that empower teams to derive insights quickly. I design modular, plug-and-play data solutions and partner with business teams to turn data into actionable outcomes. With 7+ years of experience across aviation, healthcare, fintech, e-commerce, legal tech, and beauty & fashion, I’ve led cloud migrations, real-time streaming initiatives, and AI-driven analytics that boost velocity and impact across organizations.

Available to hire

I am a Senior AI & Data Engineer who loves building scalable data platforms and automation that empower teams to derive insights quickly. I design modular, plug-and-play data solutions and partner with business teams to turn data into actionable outcomes.

With 7+ years of experience across aviation, healthcare, fintech, e-commerce, legal tech, and beauty & fashion, I’ve led cloud migrations, real-time streaming initiatives, and AI-driven analytics that boost velocity and impact across organizations.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Senior AI Data Engineer at Invisible Technologies
June 1, 2023 - Present
Engineered modular plug-and-play data platforms for finance, retail, and telco clients using Python, Airflow, and dbt, improving developer velocity by 45%. Implemented FHIR-based data models and validation pipelines with automated normalization and integrity checks for health care systems. Built real-time pipelines processing 50M+ records/day with GCP Dataflow, Pub/Sub, and Snowflake, leveraging AI-driven schema inference to deliver actionable analytics to business teams. Led migration of 10TB+ of legacy data to GCP; built LangChain RAG pipelines to clean, enrich, and index records for instant LLM-driven search and analytics. Containerized and orchestrated deployments using Docker, Kubernetes, and Terraform on AWS to deliver scalable analytics pipelines.
Data Platform Engineer at StyleSeat
January 1, 2021 - May 1, 2023
Built 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, enabling faster churn insights and improved booking reliability. Migrated data platform infrastructure to Azure deployments, integrating AI-driven workflow orchestration to improve scalability and reduce operational costs by 15%.
Data Platform Engineer at Stylesea
January 1, 2021 - May 1, 2023
Built 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, enabling faster churn insights and improved booking reliability. Migrated data platform infrastructure to automated cloud-native Azure deployments, integrating AI-driven workflow orchestration to improve scalability and reduce operational costs by 15%.
Data Engineer at Toptal
June 1, 2017 - November 1, 2020
Cleaned and processed messy mobile apps data using Spark Streaming, Kafka, and Snowflake pipelines, reducing manual work by 20% and accelerating actionable user analytics. Designed centralized star and Snowflake schemas on Apache Iceberg, accelerating web data access by 25% for analytics and AI pipelines. Integrated multiple databases into a unified platform using AWS Glue, Databricks, and S3, breaking data silos and improving departmental access by 30%.

Education

Bachelor's in Computer Science at Virginia Commonwealth University
January 1, 2013 - January 1, 2017
Bachelor's in Computer Science at Virginia Commonwealth University
January 1, 2013 - January 1, 2017
Bachelor's in Computer Science at Virginia Commonwealth University
January 1, 2013 - January 1, 2017

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Retail, Telecommunications, Healthcare, Software & Internet, Professional Services, Consumer Goods, Transportation & Logistics, Travel & Hospitality, Media & Entertainment