Ranjeet Masram

About Ranjeet Masram

Lead Azure Big Data Engineer | Cloud Analytics Specialist | Microsoft Fabric CertifiedI’m a Lead Azure Big Data Engineer with 10+ years of experience designing, building, and optimizing enterprise-scale data platforms on Azure. I specialize in turning complex, high-volume data into reliable, scalable, and business-ready analytics solutions. What I Do BestArchitect and implement end-to-end data pipelines using Azure Databricks, Spark (PySpark), Azure Data Factory, Synapse, and Microsoft Fabric.Design metadata-driven, scalable architectures for large enterprise ecosystems.Optimize Spark jobs for performance, cost, and reliability.Enable analytics and decision-making through Power BI–driven insights. Core TechnologiesSpark / PySpark | Azure Data Factory | Azure Synapse | Microsoft Fabric | Azure Databricks | Hive | Python | SQL | Power BI Impact & ExperienceWorked across Retail, Warehouse, Supply Chain, and Telecom domains.Delivered high-volume data processing solutions supporting critical business reporting.Led teams, mentored engineers, and guided POCs, platform upgrades, and modernization initiatives.Known for balancing engineering depth with business understanding.🤝 Leadership & CollaborationI’m recognized for clear communication, stakeholder alignment, and team leadership. I enjoy breaking down complex problems, collaborating across functions, and helping teams grow technically and professionally. EducationM.Tech in Computer Engineering – College of Engineering, Pune (COEP) What I’m Looking ForI’m interested in opportunities where I can:Lead or contribute to cloud data platform modernization.Work on large-scale, high-impact data engineering problems.Be part of a culture that values engineering excellence, learning, and ownership. Let’s connect if you’re building data platforms on Azure, exploring Microsoft Fabric, or looking for a seasoned data engineering leader.

Experience

1. Senior Specialist - Data Engineering Lead Data Engineer

   LTIMindtree

   May 2024 — Present · Pune, IN

   Client: MicrosoftDesigned and delivered an enterprise-grade Microsoft Fabric Data Platform for a Microsoft client, implementing a metadata-driven architecture to standardize and automate data ingestion, transformation, and analytics across domains. Defined the end-to-end platform architecture leveraging OneLake, Lakehouse, Fabric Data Pipelines, Spark, and Power BI, with emphasis on scalability, performance optimization, data governance, and self-service analytics.Previously led the architectural design and implementation of an end-to-end metadata-driven data platform on Azure Synapse Analytics, defining layered data architecture, centralized metadata management, and reusable, configurable pipelines. Established architectural standards for ingestion, transformation, orchestration, and monitoring to enable scalable, automated, and maintainable analytics solutions across diverse data sources.

Education

• Amravati University

  Bachelor's degree, Computer Science and Engineering

  2008 — 2012

• COEP Technological University

  Master of Technology (M.Tech.), Computer Engineering

  2012 — 2014

Skills

• Data Structures
• Css
• Jsp
• Hbase
• Java
• Python
• Javaserver Pages (Jsp)
• C
• Programming
• C#
• Spring Framework
• Hadoop
• Servlets
• Javascript
• J2ee
• Java Enterprise Edition
• Windows
• Asp.net Ajax
• Eclipse
• Html
• Ado.net
• Wcf
• Object-Oriented Programming (Oop)
• Web Services
• Mapreduce
• Microsoft Office
• Mysql
• Spring Mvc
• Core Java
• Hive
• Design Patterns
• Sql
• Linux
• Asp.net
• Hibernate