Results-driven technical leader with deep expertise in engineering program delivery within Microsoft’s Cloud & AI (C&AI) division.

Led 3 global cross-functional engineering teams totaling 27 engineers responsible on the Microsoft Marketing Events platform, driving delivery pipelines while enforcing compliance standards for privacy, accessibility, and security for the Secure Future Initiative (SFI).

Product owner of the ingestion for "events.microsoft.com" and Microsoft AI Tour 3M+ attendees

Serve as direct supervisor of offshore engineers focused on compliance-related development, ensuring seamless integration and support for core services.

Hands-on experience in guiding technical execution, coordinating across distributed engineering teams, in resolving program challenges

Collaborate with product, compliance, and security stakeholders to deliver reliable, enterprise-ready solutions built on Azure Cloud infrastructure and AI cognitive services.

Skilled in aligning engineering practices with organizational priorities, ensuring scalability, security, and operational excellence in cloud-based applications that support Microsoft’s global enterprise ecosystem.

Led and a team of 7 data engineers and business analysts, providing technical guidance and ensuring alignment with Apple’s global pricing strategy.

Designed and optimized data pipelines and ETL workflows, reducing latency by 35% and improving data accuracy by 40% for pricing models.

Partnered with finance and data science teams to productionize predictive pricing models, improving quarterly revenue forecast accuracy by 5%.

Built automated dashboards and analytics tools that cut manual reporting by 20+ hours per month, enabling faster, data-driven pricing decisions.

Implemented data quality monitoring and governance frameworks, reducing pricing discrepancies by 60% and ensuring compliance across 100+ global markets.

• Met enhancement of technology target goals and support the roadmap to ensure its integration with the overall Data Intelligence strategic plan.

• Collaborated with software engineers to provide technology requirements to support data governance processes.

• Interacted with CFO and CTO to understand the organization ERP needs in order to develop cost effective systems for the whole organization.

• Managed end to end product lifecycle, overseeing planning, delivery, and reiteration cross-departmental efforts to eliminate non–data-supported, high-cost operations.

• Served as a subject matter expert and partner with developers on performance tuning and best practices and assess new cloud-based opportunities.

• Responsible for conducting data extraction, manipulation and providing organized, accurate, and fact based analysis to support business decision making.

• Partnered with stakeholders to optimize daily operations through cost-effective strategies from the Data Intelligence team.

• Led Data Analytics team to effectively communicate meaningful insights from large-scale time-series data in Excel and develop compelling visual infographics with Tableau for executive administration framework

• Extracted from +800 million entries from datasets and loaded using MapReduce and Hadoop framework via using Python

• Performed advanced Data analysis from raw CSV files to ecommerce API dataset by cleaning null values, parsing non numerical (integer) values.

• Created stacked Area visualization for trends analysis, Heatmaps to show distribution, packed Bubble to show scale and bicolor for segmentation in Power BI and IBM Watson.

• Manage workflow of data and perform validation for feed channeling through Azure machine learning framework