Ms. Supriya Gandhari

Resource-Aware Data Engineering for Sustainable Decision Intelligence in Global Retail

Abstract:

Modern retail organizations are under increasing pressure to make rapid, data-driven decisions while managing escalating data volumes, rising compute costs, and sustainability expectations. This presentation introduces a resource-aware data engineering framework that unifies marketing, sales, and financial datasets to deliver measurable efficiency and responsible decision intelligence at scale. Built on Snowflake, Azure, dbt, and Dagster, the architecture integrates sell-in, sell-out, and e-commerce data streams into a consistent analytical foundation, eliminating data silos and ensuring reliable KPI alignment across business functions.  Through intelligent pipeline design, automated testing, and CI/CD orchestration, the system reduced data-processing time by 40 percent, improved ROI-tracking accuracy to 95 percent across 200 + campaigns, and cut operational costs by 40 percent. Beyond performance gains, this resource-efficient approach minimizes computational and marketing waste, supporting environmentally and financially sustainable operations.  The talk will outline technical design patterns, optimization principles, and governance practices that transform raw data into trusted insights—demonstrating how resource-aware engineering can advance sustainable, responsible, and globally scalable decision intelligence in the CPG and retail sectors.

Profile:

Supriya Gandhari is a skilled Data Engineer with extensive experience in designing and implementing scalable data architectures and ETL/ELT pipelines. Proficient in SQL, Python, PySpark, Databricks, DBT, Airflow, Dagster, Kafka, and cloud platforms including Azure and AWS, Supriya leverages data to deliver actionable insights and optimize business processes.

She has a proven track record in building robust, high-quality, and reliable data solutions, with strong expertise in data integration, pipeline orchestration, and cloud-based analytics. Her problem-solving skills and passion for data enable her to drive data-driven decision-making and support enterprise-level analytics initiatives effectively.

Currently at The Kraft Heinz Company, Supriya continues to advance scalable data solutions that empower business innovation and operational efficiency.