Rabi Sankar Mahata

🌟 Top 1% Mentor on Topmate.io • Azure Data Engineering & Data Analytics Expert 🌟 ✔ Recognized among the Top 1% of mentors on Topmate.io for delivering high-impact mentorship in Azure Data Engineering and Data Analytics. ✔ Mentored professionals globally, helping them secure roles at TCS, Accenture, EY, Deloitte, Capgemini, Infosys, Fractal Analytics, and other leading organizations. ✔ Specialized in scenario-based interview coaching, resume optimization, project storytelling, and real-world Azure Data & Analytics architecture guidance. ✔ Designed custom interview guides, end-to-end project case studies, and enterprise-grade architecture solutions—bridging the gap between learning and real-world application. ✔ Rated 5/5 by mentees for in-depth knowledge sharing, patience, and career-transforming strategies. 🚀 My mission: To empower data professionals to not only ace interviews but also excel as job-ready Azure Data Engineers and Data Analytics experts.

•Designed and implemented ETL pipelines using Azure Data Factory (ADF) and Azure Databricks to process large-scale data. •Integrated Azure Data Lake and Delta Lake for structured & semi-structured data, ensuring reliability and scalability. •Optimized PySpark and Spark SQL jobs, reducing data processing time by 30%. •Developed real-time analytics pipelines in Azure Synapse Analytics, improving reporting efficiency. •Automated deployment and workflow orchestration using Azure DevOps CI/CD, reducing manual tasks by 60%. •Built Power BI dashboards to provide business insights and improve data-driven decision-making.

•Designed and deployed end-to-end ETL pipelines using Azure Data Factory, Databricks, and Delta Lake, improving data processing efficiency by 50% for structured and semi-structured data. •Built real-time analytics pipelines in Azure Synapse Analytics, increasing reporting speed by 40% for faster decision-making. •Automated data workflows with Azure DevOps CI/CD, reducing manual effort by 60% and minimizing deployment errors. •Optimized PySpark and Spark SQL jobs, boosting performance and cutting operational costs by 35%. •Developed Power BI dashboards, enhancing business team productivity and insight generation by 45%.

•Designed and deployed end-to-end ETL pipelines using Azure Data Factory, Databricks, and Delta Lake, improving data processing efficiency by 50% for structured and semi-structured data. •Built real-time analytics pipelines in Azure Synapse Analytics, increasing reporting speed by 40% for faster decision-making. •Automated data workflows with Azure DevOps CI/CD, reducing manual effort by 60% and minimizing deployment errors. •Optimized PySpark and Spark SQL jobs, boosting performance and cutting operational costs by 35%. •Developed Power BI or Tableau dashboards, enhancing business team productivity and insight generation by 45%.