Jeyaraj Selvaraj Senior Azure Data Engineer
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I am a technical trainer and architect with over a decade of experience designing and delivering structured IT courses. My focus areas include SQL Server, Data Warehousing, Databricks Machine Learning, and secure Azure architecture.

Students appreciate my clear, step‑by‑step teaching style and the way I connect theory with real‑world projects. I specialize in automation, scripting, and DevOps pipelines, ensuring learners gain practical skills they can apply immediately.

My goal is to help you build confidence, master complex concepts, and prepare for professional success in cloud and data technologies.
My teaching methodology is structured, practical, and outcome‑driven. I begin with clear fundamentals and build toward advanced concepts using a step‑by‑step approach. Every session includes real‑world examples, hands‑on labs, and troubleshooting exercises so students can apply what they learn immediately. I encourage interactive discussions and adapt to each learner’s pace, ensuring clarity and confidence at every stage. By the end of my courses, students not only understand the technology but also have reusable scripts, templates, and documentation they can carry into their professional work.

Subjects

  • ETL Testing Expert

  • SQL and Data Warehousing Expert

  • ETL Data warehouse Expert

  • Microsoft Azure (MS Azure) Expert

  • Python (for Beginners)

Experience

  • Senior Azure Data Engineer (May, 2025–Present) at Livanova
    Designed and implemented scalable data architectures on Microsoft Azure to support enterprise analytics and reporting solutions.

    Developed and maintained end-to-end ETL/ELT data pipelines using Azure Data Factory and Azure Synapse Analytics for ingesting data from multiple sources including SAP, SQL Server, APIs, and flat files.

    Built and optimized data lake and lakehouse architectures using Azure Data Lake Storage and Microsoft Fabric following the Bronze, Silver, and Gold data layering approach.

    Implemented incremental data loading strategies, change data capture (CDC), and metadata-driven pipelines to improve pipeline efficiency and reduce processing time.

    Designed and developed high-performance data models including star and snowflake schemas for analytics and business intelligence reporting.

    Optimized SQL queries, data pipelines, and distributed processing workloads to improve performance and reduce execution time.

    Performed data transformation, cleansing, deduplication, and aggregation using SQL, PySpark, and notebook-based processing.

    Implemented data security, access control, and governance policies using Azure Active Directory and Azure Key Vault.

    Automated deployment of data pipelines and infrastructure using CI/CD pipelines in Azure DevOps with Git version control.

    Monitored data pipelines and system performance using Azure monitoring tools and resolved production issues proactively.

    Collaborated with data scientists, BI developers, and business stakeholders to deliver reliable and analytics-ready datasets for reporting platforms such as Power BI.

    Provided technical leadership, conducted code reviews, and mentored junior data engineers on best practices in cloud data engineering.
  • Senior Azure Data Engineer (Mar, 2020–May, 2025) at Singsoft solutions pte ltd
    Designed and implemented scalable data architectures on Microsoft Azure to support enterprise analytics and reporting solutions.

    Developed and maintained end-to-end ETL/ELT data pipelines using Azure Data Factory and Azure Synapse Analytics for ingesting data from multiple sources including SAP, SQL Server, APIs, and flat files.

    Built and optimized data lake and lakehouse architectures using Azure Data Lake Storage and Microsoft Fabric following the Bronze, Silver, and Gold data layering approach.

    Implemented incremental data loading strategies, change data capture (CDC), and metadata-driven pipelines to improve pipeline efficiency and reduce processing time.

    Designed and developed high-performance data models including star and snowflake schemas for analytics and business intelligence reporting.

    Optimized SQL queries, data pipelines, and distributed processing workloads to improve performance and reduce execution time.

    Performed data transformation, cleansing, deduplication, and aggregation using SQL, PySpark, and notebook-based processing.

    Implemented data security, access control, and governance policies using Azure Active Directory and Azure Key Vault.

    Automated deployment of data pipelines and infrastructure using CI/CD pipelines in Azure DevOps with Git version control.

    Monitored data pipelines and system performance using Azure monitoring tools and resolved production issues proactively.

    Collaborated with data scientists, BI developers, and business stakeholders to deliver reliable and analytics-ready datasets for reporting platforms such as Power BI.

    Provided technical leadership, conducted code reviews, and mentored junior data engineers on best practices in cloud data engineering.

Education

  • Master of Computer Application (Jun, 2006–Apr, 2009) from Bishop Heber college.–scored 8.3

Fee details

    ₹400–1,000/hour (US$4.21–10.53/hour)

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