About

Core Competencies

  • Data Engineering Leadership: Architecting and operating complex cloud data platforms (Google Cloud, Microsoft Azure, Databricks, AWS) since 2020, leading robust ETL/ELT pipeline development and data governance at scale.
  • AI & Analytics Expertise: Skilled in developing and integrating generative AI, machine learning, NLP and analytics solutions for modern product development, consistently delivering measurable operational improvements.
  • Cloud Platform Mastery: Multi-certified on Google Cloud, Microsoft Azure and Databricks; hands-on with MLOps, medallion/lakehouse architectures, and cloud-native solutions on AWS.
  • Cross-Functional Leadership: Formal management training, documentation standardization, and technical mentorship spanning business and technology teams.
  • Product & User Focus: Educated in UX/UI and digital product management, with proven success launching analytics tools and business dashboards for diverse stakeholders.

Career Highlights

Data Solutioning
and Architecture

Established medallion architecture, standardized cross-functional documentation, and guided data/AI/ML project delivery on Google Cloud and Microsoft Azure.

Lead
Data Engineer

Architected resilient, cost-saving data pipelines on AWS and championed technical upskilling and collaboration.

Technical
Portfolio

Comprehensive technical portfolio from Metis Data Science Bootcamp, including end-to-end ML, AI and analytics projects. See Portfolio Highlights

Credential Highlights

View Full Credentials List

Career Journey

Philosophy

“I believe in bridging the gap between business questions and technical delivery—empowering organizations through scalable data, AI, and analytics capabilities, and developing people as the foundation for lasting transformation.”