Nikini Jayasekara Data engineer
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I am a Power BI Trainer and Data Analytics Professional with 3+ years of real-world industry experience in Business Intelligence, Data Visualization, and Data Engineering. My teaching approach is practical, industry-focused, and job-oriented, designed to help students and professionals confidently apply Power BI skills in real business scenarios.

I specialize in Power BI Desktop and Service, data modeling, Power Query (M), advanced DAX, and dashboard storytelling, with strong exposure to Microsoft Fabric, Azure Synapse Analytics, SQL, Python, and Pyspark. I focus on teaching not just how to build reports, but why certain models, DAX patterns, and performance techniques are used in real companies.

My sessions are hands-on and project-driven, covering end-to-end solutions — from raw data ingestion and transformation to optimized dashboards, security (RLS), and deployment. I also provide interview preparation, real-world use cases, and best practices that align with current industry expectations.

As a trainer, I am known for clear explanations, patience, and a student-first mindset. I enjoy mentoring learners from different backgrounds and helping them transition into job-ready Power BI, BI Analyst, and Data Analyst roles with confidence.

Subjects

  • SQL Beginner-Intermediate

  • Power BI Beginner-Expert

  • Microsoft Power Automate Beginner-Intermediate


Experience

  • Data Engineer (Feb, 2022Present) at Virtusa (Pvt) Ltd Sri Lanka
    ETL Development: 3+ years building and optimizing ETL pipelines with Pyspark in Azure
    Synapse Analytics, enabling fast ingestion, transformation, and loading of large-scale
    datasets.
    Business Intelligence: Developed interactive Power BI dashboards for revenue forecasting,
    performance tracking, and executive reporting,Managed data backups to ensure reliable
    support for business stakeholders’ decisions.
    Advanced DAX: Proficient in creating complex DAX measures for time intelligence, dynamic
    calculations, and advanced reporting logic.
    Strong understanding of data modeling, performance tuning, and data governance best
    practices within the Azure ecosystem.

Education

  • Bsc(Hons) Electrical and Electronic Engineering (Feb, 2018Feb, 2022) from SLIIT, Malabe

Fee details

    රු1,5002,000/hour (US$4.556.06/hour)


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