PIYUSH KOLTE

At Kimberly-Clark, I turn fragmented manufacturing, sourcing, and finance data into governed reporting that production and finance can trust. I lead requirements gathering, metric definition, source-to-report reconciliation, and UAT across SAP, plant MES, and Excel-based systems.

My work has helped cut unplanned downtime by 12%, reduce scrap by 9%, lift OEE by 3–4 points, and drive an estimated $150K in annualized loss avoidance. I also defined a Power BI supply-chain control tower that reduced unplanned stockouts by 15%.

Previously at Aaradhana Energy, I centralized production, raw-material, costing, and finance data from Excel into Oracle, then built SQL-driven Power BI dashboards for plant and finance leadership. I use SQL, Python, Power BI, and Advanced Excel to validate data, standardize KPIs, uncover cost drivers, and automate recurring reporting.

I also bring software engineering experience from Sutherland Global Services, where I built a real-time PII-anonymization service using Python, Flask, Docker, Kubernetes, GKE, Redis, and PostgreSQL. Across my work, I enjoy turning ambiguous business questions into clear definitions, reliable data products, and decisions teams can act on.