Available for contract & full-time remote
Data Engineer & AI Developer
Building production-grade batch and streaming pipelines since 2020 on GCP and AWS. Delivered data systems for Walmart, Macy's, and BlueCross BlueShield. Google Professional Data Engineer certified.
Selected Work
Production-oriented pipelines built with modern open-source tooling.
Local open lakehouse pipeline processing synthetic Synthea patient records via two ingestion paths — structured CSV and FHIR R4. Airflow orchestrates staging to MinIO, ingestion into Apache Iceberg via Trino and Apache Polaris (REST catalog), and dbt transformations producing a clinical mart. A Streamlit dashboard serves KPIs directly over Trino.
Symbolic score analysis and retrieval system for classical piano music in Humdrum format. Parses Beethoven sonatas via music21, stores versioned measure-level analyses (key, harmony, rhythm, texture) in PostgreSQL with pgvector, and uses hybrid vector retrieval to answer natural-language questions with notation-backed evidence. A Verovio WASM renderer displays exact SVG score slices in the browser alongside LLM explanations.
Contract Work
Available for short-term engagements and project-based contracts. Reach out to discuss scope and rates.
Batch and streaming ETL/ELT pipelines from ingestion to analytics-ready outputs. Airflow, Flink, Kafka, dbt, Apache Iceberg.
Data infrastructure design and migration on GCP and AWS. BigQuery optimization, Lakehouse architecture, cost-effective storage strategy.
LLM-powered automation using LangChain and multi-agent patterns. RAG pipelines, SQL agents, structured extraction, and workflow orchestration.
Schema design, data validation frameworks, and dbt modeling. Audit SQL, fix data integrity issues, and build stakeholder-ready outputs.
Training and evaluation dataset production for ML models — schema consistency, edge case coverage, labeling accuracy, and annotation QA.
Have a project in mind? Available for contracts, consulting, and remote full-time roles.
Start a conversationBackground
I'm Jeremy Tran, a data engineer and AI developer based in Irvine, CA, building production data systems since 2020. I've worked across the stack at Tredence (Walmart), Infosys (Macy's, BlueCross BlueShield), and as an independent AI/ML data contractor — with a consistent focus on data quality, schema evolution, and analytics-ready outputs.
I hold a BA in Neuroscience from Pomona College and am Google Professional Data Engineer certified. Currently open to remote contract and full-time roles in data engineering and AI.
Languages
Pipelines & Orchestration
Data & Storage
Cloud & Infra
Web
AI & Tooling
Get in Touch
Open to remote contract work and full-time roles in data engineering and AI.