aryan bagoria

I’m currently a GCP Data engineer at Estyl, an EU-based AI startup, where I’ve helped build scalable, idempotent ETL pipelines processing millions of fashion product records across 500+ brands.

I automate data ingestion, transformation, and AI data enrichment on Google Cloud using BigQuery, Cloud Run, Cloud Workflows, and GCS—and I’ve put Gemini and OpenAI with Weaviate vector databases to work for semantic retrieval and recommendation.

I also focus on making pipelines easy to operate: I’ve optimized performance and added monitoring, logging, and status tracking for better scalability and reliability.

Before that, I worked as a Web Developer at IT BOOST Australia, turning UI/UX wireframes into responsive code and supporting API testing with the backend team while contributing to multiple websites. I’ve also built end-to-end data engineering projects across Azure, Airflow, Kafka, Spark, and ML workflows.