Teams at Blend360

Build and own the platform observability layer: design Grafana dashboards, instrument metrics (including LLM signals), connect Azure Monitor/OpenTelemetry, set up alerting, and coach the team. Contribute to CI/CD, deployment tooling, and cloud infrastructure as needed.

Lead and mentor a data engineering team to design, scale, and maintain Databricks-based automated pipelines and reusable data components. Define technical strategy, enforce code quality and data modeling standards, refactor legacy code, ensure data quality/governance, and partner with analytics and product stakeholders to deliver performant datasets for reporting and analytics.

Lead and scale Journey Analytics data platforms by defining technical strategy, mentoring data engineers, refactoring legacy code, and building reliable, modular Databricks pipelines and scalable data models for analytics while ensuring data quality and cross-functional alignment.