Raj K
@rajk1
Power BI Developer and Azure Data Engineer building scalable ETL and DAX dashboards for faster decisions.
What I'm looking for
I am a results-driven Azure Data Engineer and Power BI Developer focused on building scalable data solutions and optimizing reporting. I bring a proven track record in designing efficient ETL pipelines and delivering actionable business intelligence.
I’ve enhanced end-to-end data reliability and performance by optimizing Azure Data Factory pipelines to reduce data processing time by 55% and boost system efficiency by 48%. I also designed interactive Power BI dashboards that provide real-time insights and improved stakeholder decision-making speed by 40%.
I’m equally strong on the modeling and query layer: I built robust data models using Power Query and DAX, reducing report load times by 25% through best-practice modeling. I’ve also tuned Power BI reports using aggregations and query folding, enhancing report performance by 30%.
Beyond delivery, I emphasize adoption and support—leading deployments with 95% integration success and contributing to a 10% improvement in operational uptime. I developed training programs that reduced support queries by 50% and supported oilfield industry requirements with a 95% satisfaction rate.
Experience
Work history, roles, and key accomplishments
Azure Data Engineer & Power BI Developer
Capgemini India
Aug 2022 - Present (3 years 10 months)
Optimized Azure Data Factory ETL pipelines and designed Power BI dashboards for real-time reporting. Built Power BI data models with Power Query and DAX, tuned report performance, and supported deployments that improved integration success and client satisfaction.
Education
Degrees, certifications, and relevant coursework
Pillai College of Engineering
Bachelor of Technology
2018 - 2022
Activities and societies: Developed optimized data pipelines to increase processing speed by 35% and reduce operational costs by 40% via parallel processing. Transformed large-scale datasets using optimized partitioning to reduce ETL processing time and implemented Azure Analysis Services models for scalable BI.
Bachelor of Technology at Pillai College of Engineering (2018–2022), including projects that optimized ETL performance using parallel processing and partitioning and implemented scalable data models with Azure Analysis Services.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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