Resume — Bijan Anjavi

Technical Skills

Languages: Python, SQL (T-SQL, Spark SQL), R, JavaScript

Data Engineering: Azure Databricks, Apache Spark, PySpark, dbt, Airflow, Dagster, Docker, AWS, REST APIs

Databases: SQL Server, PostgreSQL, Delta Lake; dimensional modeling (Kimball), stored procedure development

ML & AI: Scikit-learn, TensorFlow, YOLOv8, RAG pipelines, LLM integration (Claude, OpenAI), MCP, NVIDIA Jetson

Tools: Git/GitHub, Claude Code, Hex, CI/CD (TeamCity), Linux

Concepts: ETL/ELT pipeline design, data modeling, anomaly detection, time series analysis, statistical modeling, computer vision

Data Scientist → Senior Data Scientist Nov 2023 – Present

Rocket Lab USA · Long Beach, CA

Own end-to-end data pipelines across Azure Databricks, SQL Server, and ERP systems (TeamCenter, LN); built automated ETL for as-built cost rollups, recursive BOM traversal, and yield analysis serving manufacturing and finance teams.
Developed anomaly detection system for Rutherford engine hotfire test data, identifying transient events across hundreds of sensor channels to support engine qualification on the Electron launch vehicle.
Built statistical anomaly detection model on Motorized Light Band current profiles; delivered automated screening threshold now deployed in production acceptance testing across all flight units.
Deployed enterprise RAG application (100+ DAU) over as-built rocket data, nonconformance records, and purchase orders; integrated with MES and ERP backends via REST APIs and MCP tooling.
Partnered with Rivian to build computer vision defect detection pipeline for SolAero solar cell manufacturing; YOLOv8 inference on NVIDIA Jetson edge hardware with automated image ingestion.
Authored and optimized complex T-SQL stored procedures for cost allocation, hardware traceability, and supply chain analytics; managed database performance tuning and schema migrations.

Data Engineer I → Data Engineer II Aug 2019 – Nov 2023

Arizona Public Service · Phoenix, AZ

DRI for Outage Journey, a real-time data platform ingesting smart meter events and outage telemetry from the APS grid; designed the backend data store, ETL pipelines, and event processing layer supporting 1.4M customers during storm-season outages.
Built decision tree regression model for power restoration time prediction, improving estimate accuracy by 10% and reducing late customer notifications.
Developed PySpark data pipelines in Databricks to process and analyze badge swipe telemetry across corporate offices and generation facilities, directly informing post-COVID occupancy and facilities consolidation decisions.
Designed and maintained ETL workflows for operational reporting across nuclear generation, transmission, and distribution business units.

Systems Analyst Sep 2018 – Apr 2019

Rockstar Games · Andover, MA

Credited on Red Dead Redemption 2; built automated data pipelines for player economy metrics including earnings, transactions, and in-game currency flow for the online multiplayer team.
Developed real-time D3.js visualization tool for event stream diagnostics, used by network engineers to monitor and debug live game server infrastructure.

Master of Science in Computer Science — 3.97 GPA Jan 2023 – Dec 2024

Arizona State University · Tempe, AZ

Bachelor of Science in Computer Science, Minor in Mathematics — 3.85 GPA Aug 2014 – May 2018

University of Arizona · Tucson, AZ