Ms. Ann Merin Peter is a results-driven Staff Data Engineer at Walmart Inc., California, USA, leading the data engineering efforts for the Walmart Plus Product Analytics team. Her work underpins strategic business decisions across Walmart’s digital platform, which serves over 20 million weekly customers globally.

She has built and optimized large-scale data pipelines that process billions of clickstream events daily, integrating sources such as GCP and enterprise APIs. Her engineering solutions enable real-time analysis for customer behaviour, funnel performance, and membership growth trends. She has designed and launched over 100 ETL workflows and 200+ data tables, significantly reducing time-to-insight for cross-functional teams.

She played a key role in Walmart’s “Feeding America” initiative, where her contributions supported the logistics and tracking systems behind one of the company’s largest donation programs. In recognition of her impact, she has received multiple team awards, employee of the month honors, and special cash awards for both technical innovation and crisis-response excellence.

Before Walmart, she contributed significantly at HP, where she led multiple data-driven initiatives across the EMEA region. Her work involved developing scalable reporting solutions and designing data workflows that improved visibility and decision-making across EMEA business units.

Beyond her core responsibilities, she actively mentors aspiring professionals through ADPList, guiding learners in cloud data engineering and career growth. She also contributes to the academic community as a peer reviewer for IJERT (International Journal of Engineering Research & Technology) and serves as a judge for the Globee Awards, evaluating global entries in AI, technology, and leadership.

Certified in Generative AI and Cloud Architecture, she is currently building a platform powered by GPT-4o that auto-generates weekly product summaries from large datasets, combining machine intelligence with business relevance. Her work reflects a rare blend of engineering precision, innovation, and scalable impact, empowering decisions, teams, and technologies across the global data landscape.