Headline

Data Engineer (4.8 Yrs) | Turning Supply Chain Data into Decisions | CPG |Azure Databricks, SQL, PySpark, ADF|Delta lake|Unity Catalog|Stakeholder Management & Leadership |Fortune 500

About

Senior business and data engineer with 4.8+ years of experience building enterprise-scale data engineering, migration, and analytics solutions using PySpark, Databricks, Azure Data Factory, SQL, and Power BI. Currently working with Mu Sigma Inc. on the PN – Core & Product Migration program, leading a 15+ member cross-functional team through large-scale data migration and modernization initiatives with medalian architecture having successfully migrated 94+ data assets across 10+ global regions. Previously worked across the Digital & Data Foundation, Dynamic Demand Navigator, Mesh Data Foundation for Supply Chain, and Polaris Digital Transformation programs at Mu Sigma, where I gained hands-on experience with Azure data factory, azure data bricks, delta lake ,Py charm,Unity Catalog, Data quality and data contracts and ETL pipeline optimization (including broadcast joins, partition tuning, and Z-Ordering to cut compute costs). I also work extensively with Azure DevOps for Agile delivery and CI/CD, and have built KPI-driven Power BI dashboards supporting demand planning and business decision-making across Supply Chain, Procurement, Logistics, Inventory, Manufacturing, and R&D domains. I bring strong data modeling expertise (LDM, CDM, PDM), stakeholder management, and team leadership skills, and enjoy designing scalable, governed, and business-ready data products. A graduate of Jain College of Engineering with a Bachelor's in Civil Engineering, and recognised with 3 SPOT Awards for outstanding performance and impactful delivery — known for a collaborative mindset and strong cross-functional communication.

Location

Greater Bengaluru Area

AI stack

claude

codex

deepseek

perplexity

ChatGPT

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Work experience

Data Engineer /analyst at Mu Sigma Inc., Jan 2026 - Present · 9 mos, Led Agile delivery for a 12+ member cross-functional team using Azure DevOps, ensuring on-time delivery and stakeholder alignment across a multilayer (Bronze/Silver/Gold) data platform. Developed enterprise data modeling artifacts spanning conceptual, logical, and physical data models, business requirement documentation, source-to-target mapping, data lineage, and attribute-level gap analysis for large-scale migration programs, enforcing modeling standards across medallion layers. Delivered large-scale migration of 94+ data assets across 10+ regions covering end-to-end supply chain functions, strengthening governance compliance and operational reliability through Unity Catalog enhancements, including RBAC, access control policies, data lineage, and metadata tagging. Led migration and modernization of global Gold-layer 20+ products including SPM, transitioning business logic to a PySpark-based transformation framework and enabling seamless report repointing and cross-platform data sharing.

Data engineer/ Analyst at Mu Sigma Inc., Jan 2022 - Present · 4 y 8 mo, Bangalore, Partnered with market collaboration leads to automate demand review processes, improving visibility into forecast performance, trends, and root causes through orchestrated data pipelines and reports. Gathered stakeholder requirements and developed KPI-driven Power BI dashboards supporting demand planning and business decision-making.

Data engineer/ Analyst at Mu Sigma Inc., Feb 2025 - Aug 2026 · 1 yr 7 mos, Designed scalable data models and SQL frameworks supporting configuration management, metadata governance, CMDB integration, and platform provisioning across the lakehouse architecture. Defined and implemented standardized Data Contracts to improve data sourcing efficiency, governance compliance, and change management processes; evaluated and recommended governance and cataloguing tools including Microsoft Purview alongside Unity Catalog to strengthen metadata management and access control. Collaborated with business stakeholders, data providers, and data consumers to align data requirements, RBAC policies, and governance standards. Set up SLA monitoring and alerting using Azure Monitor and Log Analytics dashboards to track pipeline health, data freshness, and job failures, enabling proactive issue resolution and consistent adherence to platform SLAs.

Education

Bachelor of Engineering, Civil Engineering, JAIN COLLEGE OF ENGINEERING