Build and operate scalable Python-first ETL and ELT pipelines for genomic and operational data. Integrate LIMS, laboratory instruments, applications, and third-party sources while guiding architecture and engineering standards. Own data quality, lineage, observability, reproducibility, audit readiness, security, and regulatory compliance across hybrid and cloud environments. Work with SQL databases, workflow orchestration, containers, Kubernetes, AWS data services, distributed processing, streaming, bioinformatics workflows, and infrastructure as code.

Leads B2B client implementations across technical and operational workflows, including pre-sales scoping, 3PL and laboratory process design, portal configuration, API integration, client onboarding, training, and system upgrades. Coordinates Data Engineering, Laboratory, Commercial, Operations, and logistics teams to deliver projects on schedule and translate technical requirements into actionable steps for clients and nontechnical stakeholders.

Build and scale production full-stack features using C#/.NET and modern frontends, integrate and manage agentic AI workflows with robust state management, ensure compliance and observability, manage AWS infrastructure with IaC, maintain CI/CD, mentor engineers, and drive testing and reliability in regulated environments.