Today, I lead enterprise Data Operations while building the next generation of intelligent support and automation.

At Inspire Brands, my journey has evolved from supporting technology to transforming how enterprise data operations work. I lead the operations of the Enterprise Data Platform that supports critical business capabilities across transactions, customer intelligence, loyalty, marketing, and core business operations.

I lead a high-performing data engineering organization and oversee 750+ production pipelines across ADF, Databricks, Snowflake, ADLS, Airflow, and multi-cloud sources, while driving the design and development of 100+ data pipelines. My focus goes beyond keeping the platform running—it is about continuously improving how it runs.

I leverage Azure OpenAI, Copilot, AI Agents, and automation to transform traditional support and operational processes into intelligent, proactive capabilities. From monitoring and anomaly detection to troubleshooting, root-cause analysis, knowledge retrieval, and workflow automation, I focus on solving operational problems through practical AI solutions.

Today, my role brings together Data Operations, Data Engineering, AI, Automation, and Business Transformation—building resilient platforms while removing complexity and friction from the way teams operate.

This chapter marks the transition from managing data platforms to transforming how they operate—making operations more proactive, intelligent, and automated.

The Present: Transforming Data Operations with AI & Automation

Manager – Data Engineering | Inspire Brands | Oct’23 – Present

As Manager – Data Engineering, I lead the design, development, and operations of Inspire Brands’ Enterprise Data Platform—an ecosystem of 750+ production pipelines supporting critical business capabilities across transactions, customer intelligence, loyalty, campaigns, and operational insights.

I lead a high-performing engineering team and own the reliability, scalability, performance, and day-to-day operations of a modern data ecosystem spanning Azure Data Factory, Databricks, Snowflake, Airflow, ADLS, and multi-cloud data sources. My role spans Data Operations, engineering delivery, production support, critical incident management, platform modernization, automation, and data quality governance.

Alongside Data Engineering and Operations, I drive the adoption of AI to transform how support and operational processes work. Using Azure OpenAI, Copilot, AI Agents, and intelligent automation, I have built solutions that improve monitoring, accelerate troubleshooting and root-cause analysis, automate operational workflows, and provide actionable insights to engineering and business teams.

My work combines operational leadership, engineering depth, and AI transformation—turning complex operational challenges into practical, scalable solutions that improve platform resilience, reduce manual effort, and enable teams to work more proactively.

This role represents the evolution of my journey from running technology and support operations to transforming how enterprise data platforms operate through engineering, automation, and AI.

Takeaways & Learnings

This role transformed me from a Data Operations and Engineering leader into an AI-driven transformation leader—identifying opportunities, building intelligent solutions, and reimagining how support and business processes operate.

  • AI Ops & Intelligent Operations: Enabled proactive, AI-assisted monitoring, troubleshooting, and root-cause analysis.

  • AI Solutioning & Delivery: Translated business and operational challenges into practical AI agents, copilots, and workflows.

  • From Concept to Production: Owned AI solutions from use-case discovery and design through implementation and productionization.

  • Intelligent Automation: Leveraged Azure OpenAI, Copilot Studio, and Power Platform to streamline workflows and reduce manual effort.

  • Business-Centric AI Transformation: Aligned business needs, technical feasibility, and security to deliver practical AI solutions.

  • Engineering Meets AI: Combined Data Engineering and Data Operations expertise with AI to solve real enterprise problems.

  • Leadership Through Transformation: Guided teams in adopting emerging technologies and delivering sustainable business outcome

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