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Power BI Developer with 5+ years in Data Analytics & ETL Pipeline Development.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Power BI Developer with 5+ years of experience designing, developing, and deploying enterprise Business Intelligence solutions across HR and Finance domains at HCLTech. Proficient in DAX, Power Query (M Language), data modeling, star schema design, and Row-Level Security (RLS). Hands-on expertise building automated ETL pipelines in Microsoft Fabric using PySpark and Spark SQL, migrating legacy Qlik Sense environments to Fabric Lakehouse architecture, and enabling self-service analytics for 150+ stakeholders. Experienced in Agile delivery environments and collaborative BI development with cross-functional product and engineering teams. Microsoft Certified Power BI Data Analyst Associate (PL-300).
SASTRA Deemed University, Thanjavur
MCA · Master of Computer Applications
August 1, 2024 – June 30, 2025
SASTRA Deemed University, Thanjavur
BCA · Bachelor of Computer Applications
N/A – Present
HCLTech
Power BI Developer
January 1, 2021 – Present
Hyderābād, Telangana, India
BTIS-EDS Platform Analytics
January 1, 2021 – June 1, 2026
This project involved designing and delivering 12+ interactive Power BI dashboards and reports for HR and Finance domains. It included building end-to-end ETL pipelines in Microsoft Fabric using parameterized PySpark notebooks and configuration tables, leading to a 60% reduction in manual data preparation time. Optimised DAX measures, calculated columns, and time-intelligence functions were developed within star-schema semantic models to standardize KPI definitions and eliminate inconsistent metric calculations. Dynamic Row-Level Security (RLS) was implemented across dashboards for 8 distinct security roles across 3+ organisational tiers. Dashboards were deployed to Power BI Service with scheduled dataset refreshes and Power BI Gateway configuration, achieving 99%+ refresh SLA and reducing stakeholder dependency on ad-hoc data pulls by 40%. Automated data validation checkpoints were integrated within Fabric pipelines to detect schema drift and null anomalies, reducing data discrepancies by over 50%. A full migration of the enterprise reporting stack from Qlik Sense to Microsoft Fabric and Power BI was led across 8 reports, re-architecting data models and visuals while preserving business logic and improving refresh performance. Hands-on Power BI training sessions were delivered for 50+ business users, increasing dashboard adoption by 30%. Collaboration with data engineers, business analysts, and product teams in Agile sprints was key to diagnosing pipeline bottlenecks, optimising DirectQuery performance, and enforcing data governance standards.
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Microsoft Corporation
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience in Agile environments and collaboration with cross-functional teams suggests a good cultural fit for dynamic, team-oriented organizations. Their involvement in training users and improving data literacy indicates a proactive approach to stakeholder engagement and a willingness to share knowledge. The diversity of projects across HR and Finance domains, coupled with a broad technical skill set, suggests adaptability and a continuous learning mindset, which are positive indicators for cultural alignment.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through working with data engineers, business analysts, and product teams in Agile sprints. Their experience in delivering training sessions for business users highlights good communication and mentorship abilities. The focus on reducing manual effort and improving efficiency (e.g., 60% reduction in data prep time, 40% reduction in ad-hoc data pulls) indicates a results-oriented and proactive work attitude. The ability to lead migrations and implement complex security solutions suggests strong problem-solving and ownership.