Teams at Rockwell Automation

Build, support, and maintain scalable cloud data platforms across Azure and AWS. Develop Databricks, Spark, PySpark, SQL, Python, ETL/ELT, and REST API ingestion pipelines. Monitor and troubleshoot cloud integrations, apply security and governance standards, and improve reliability and cost efficiency. Collaborate with architecture, security, FinOps, analytics, and business teams to deliver trusted data for reporting, AI, and operational decisions.

Designs, builds, and supports scalable cloud data platforms across Azure and AWS. Leads Databricks-based ETL/ELT pipelines, lakehouse architecture, data transformation, API integrations, automation, monitoring, CI/CD, and Infrastructure as Code. Partners with architecture, security, FinOps, analytics, and business teams to deliver secure, governed, reliable, and cost-effective solutions. Provides technical leadership, establishes engineering standards, mentors engineers, and resolves complex data, integration, and platform issues.

Lead design and development of enterprise Power Platform solutions (Power Apps, Power Automate, Power BI). Analyze existing architecture, build Canvas and Model-driven apps, implement complex flows, integrate SharePoint/SQL/Dataverse, produce technical documentation, mentor junior developers, troubleshoot issues, and participate in Agile delivery.