Headline

Technical Product Manager | Supply and Procurement & ESG Analytics | Azure Databricks | Lakehouse (Bronze-Silver-Gold) | Procurement & Sustainability | Senior Strategy Consultant @ | FMCG | E - Commerce

About

I build and own enterprise data products that power Supply Chain and Sustainability decision-making at scale. With 5+ years of experience across consulting and Fortune 500 environments, I specialize in translating complex procurement and ESG business challenges into scalable Lakehouse data products built on Azure Databricks. Currently leading the Supplier 360 data product for Global Procurement at Diageo, I define product vision and roadmap, prioritize agile backlogs, and govern medallion-layer (Bronze-Silver-Gold) transformations to deliver high-quality, analytics-ready datasets aligned with sourcing and ESG objectives. My core focus areas include: • Supply Chain & Procurement Analytics • ESG & Carbon Reporting (Scope 1 & 2) • Azure Databricks & Lakehouse Architecture • Source-to-Target Mapping (STTM) • Agile Product Ownership & Backlog Leadership • Data Quality, Governance & Platform Standards I operate at the intersection of business strategy, data engineering, and architecture—ensuring enterprise-scale data products are technically robust, cost-optimized, and outcome-driven.

Location

Greater Kolkata Area

AI stack

antigravity

codex

claudecode

Work experience

Senior Strategy Consultant : M&A Deal Transformation and Post Merger Integration at Deloitte, Jun 2026 - Present · 3 mos, On-site

Senior Technology Consultant at EY, Sep 2025 - Jul 2026 · 11 mos, On-site, I spearhead the end-to-end development of enterprise-grade data products. Most recently, I took full ownership of a "Supplier 360" data product built on Azure Databricks. In this role, I define the comprehensive product roadmap and bridge the gap between business and technology, translating complex Supply Chain and ESG use cases into clear, executable technical deliverables. My approach is deeply rooted in building robust, scalable foundations. I architect data strategies leveraging the Medallion (Bronze-Silver-Gold) architecture. I lead the requirement discovery process and author the detailed Source-to-Target Mapping (STTM) documentation that empowers our engineering teams to build seamlessly and accurately. I direct the full product lifecycle from zero to one. By owning the Agile/Jira backlog and authoring core documentation (BRDs, FSDs), I aggressively prioritize deliverables. My goal is always to ensure cross-functional Data Engineering and QA teams remain aligned, unblocked, and focused on high-value outcomes. I believe great data products rely on impeccable trust and reliability. I establish rigorous data governance, lineage tracking, and automated quality frameworks. I also stay hands-on with the data—leveraging SQL and Databricks notebooks to validate transformations and perform first-level root cause analysis (RCA) for any pipeline failures before they escalate. Ultimately, my focus is on driving measurable global impact. I recently engineered a comprehensive procurement KPI suite that integrates carbon emissions, risk profiles, and spend analytics. This product directly drives ESG compliance and operational transparency across five major international markets, providing executive leadership with analytics-ready insights

Tech Consultant at EY, Feb 2024 - Oct 2025 · 1 yr 9 mos, Bengaluru, Karnataka, India, Client: Global Leader in Alcoholic Beverages Lead Product Analyst– Supplier Portal I owned the end-to-end development of an enterprise Supplier portal product on Salesforce, defining product vision, roadmap, and backlog to align global procurement and ESG objectives with scalable Lakehouse solutions. I architected the data strategy using Medallion (Bronze–Silver–Gold) architecture, led requirement discovery, and authored detailed STTM documentation to translate complex supply chain use cases into production-ready engineering deliverables. I drove agile execution across Data Engineering and QA teams, led sprint ceremonies, governed data quality and lineage standards, and performed first-level RCA on pipeline failures—ensuring high-performance, analytics-ready datasets across five major global regions. I engineered a global procurement KPI suite integrating carbon emissions, supplier risk, contract coverage, and spend analytics—strengthening ESG compliance and operational transparency at enterprise scale. Client: Global Leader in Sportswear & Retail Lead Product Analyst – Sustainability Data Foundation I owned the Sustainability Data Foundation roadmap, consolidating ESG data across 5+ global regions into a centralized Azure Databricks Lakehouse to enable standardized Scope 1 & 2 emissions reporting. I automated Delta Lake ingestion pipelines from 4+ global systems, eliminating 200+ hours of manual reporting annually and delivering multi-million–row Gold-layer datasets consumed by 100+ cross-functional stakeholders. I embedded data governance, audit traceability, and quality controls across Bronze–Silver–Gold layers—ensuring compliance-grade sustainability reporting aligned with enterprise climate commitments.

Software Engineer at Impetus, Apr 2022 - Feb 2024 · 1 yr 11 mos, Bengaluru, – Delivered enterprise BI and compliance reporting solutions for clients including TransUnion and United Airlines. – Facilitated collaborative workshops with executive stakeholders at United Airlines to bridge the gap between complex business needs and technical data architecture, ensuring high-impact feature prioritization. – Performed comprehensive gap analysis and source-to-target mapping for TransUnion compliance projects, identifying critical data inconsistencies and improving reporting accuracy by 15% – Authored detailed Business Requirement Documents (BRDs) and Functional Specification Documents (FSDs), translating high-level business goals into actionable user stories for engineering teams. – Standardized the data validation framework across multiple enterprise projects, ensuring that all BI deliverables met rigorous internal governance and audit standards prior to client hand-off. – Supported UAT, data validation, and governance initiatives across enterprise reporting platforms.

ML Data Associate at Amazon, May 2021 - Apr 2022 · 1 yr, Bangalore Urban, Karnataka, India, The TRON System refers to a technology which enables human supervisory control of automated tasks . A TRON Analyst is responsible for providing supervisory control when automated tasks fail for any reason and the inputs thus provided helps in improving the automation process . Inputs provided by a TRON Analyst helps in making the Machine Learning algorithms used in the automation process more efficient and reliable. – Designed and delivered operational dashboards supporting workforce and performance analytics. Enabled adoption through user training, contributing to a 20% reduction in escalations. – Validated high-frequency machine learning model outputs by performing deep-dive video analysis of robotic stowing activities, serving as the ”Ground Truth” for model training and improving overall system accuracy. – Resolved data exceptions using HITL interventions to optimize automated fulfillment algorithms. – Conducted Root Cause Analysis (RCA) on system failures to inform iterative model-tuning insights.

Education

Bachelor of Technology - BTech, Computer Science, Sambalpur University Institute of Information Technology

Intermediate, St. Xavier's High School - India