Vin Shahrdar

About Vin Shahrdar

Data engineering leader with 10+ years of experience building and operating cloud-native data platforms across insurance, healthcare, and financial services. Currently leading two data engineering teams, delivering reliable, governed, and cost-efficient data platforms in highly regulated environments.Focused on scaling platforms and teams that balance compliance, data quality, and engineering velocity—enabling trusted, self-service analytics while keeping cloud costs and operational risk under control. Partnering closely with analytics, product, security, and compliance stakeholders to deliver data platforms that teams can depend on.Core technologies: AWS, Snowflake, Databricks, dbt, Terraform, CI/CD, data quality frameworks (Great Expectations)M.S. Computer Science | Published researcher ACM AIES)

Experience

1. Director, Data Engineering

   Travelers

   Oct 2022 — Present

   Leading two data engineering teams delivering cloud-native ETL platforms across AWS, GCP, and Azure, supporting scalable analytics and production workloads processing 10M+ daily events.• Established daily operational and delivery practices that increased deployment frequency, improved code quality, and fostered a high-trust, collaborative engineering culture• Championed AI-assisted TDD/BDD, reducing production defects by 80%+ and achieving 90%+ unit test coverage• Led a Snowflake cost governance initiative, reducing compute spend by 50%+ while improving query performance• Drove full automation of legacy on-prem manual processes, reclaiming 800+ developer hours annually• Primary contributor to the LOB engineering best practices repository, authoring standards for data quality, automated testing, CI/CD, and architecture• Spearheaded rapid R&D and prototyping initiatives, accelerating innovation cycles and validating new technologies for production readiness• Developed an ML-driven, agentic AI project tracking system to monitor delivery status, surface risks, and improve forecasting accuracy• Mentored and onboarded engineers across testing strategies, SDLC philosophies, and system architecture, accelerating ramp-up and long-term growthCore Technologies: Python, Databricks, Snowflake, AWS (Glue, Step Functions), Terraform; AI tooling including GitHub Copilot and Claude

Education

• Florida Atlantic University

  Bachelor's Degree, Computer Science

  2014 — 2016

• Florida Atlantic University

  Master's degree, Computer Science

  2016 — 2018

• Palm Beach State College

  Associate’s Degree

  2012 — 2014