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Senior Qlik Sense Developer with 3+ years in Data Modeling & Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Qlik Sense Developer with 3 years of hands-on experience in designing, developing, and deploying interactive dashboards and analytical solutions. Skilled in data modeling, performance optimization, and dashboard automation across multiple data sources including SQL Server, Databricks, and Excel. Strong understanding of Qlik concepts such as set analysis, section access, and data security. Recognized for problem-solving ability, client collaboration, and efficient dashboard delivery within deadlines.
Audisankara Institute Of Technology
Bachelor Of Technology
N/A – Present
JK Technosoft / Diensten IT (Client: TCS)
Qlik Sense Developer
December 1, 2022 – Present
India
Data Ingestion, Exploration & Visualization in Qlik Sense
Unknown
June 1, 2026 – Present
Data Analysis Using SQL
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience is highly aligned with the target role of a Senior Qlik Sense Developer, focusing exclusively on Qlik technologies and related data concepts. The single project listed is substantial and covers a wide range of Qlik Sense development aspects, indicating depth in the specific domain. However, the lack of diverse project experience outside of a single client engagement might suggest a narrower exposure to different industry challenges or architectural patterns. The certifications further reinforce the commitment to Qlik and SQL skills.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities, client collaboration, and efficient dashboard delivery within deadlines. The experience description highlights direct engagement with internal clients for support and data validation, suggesting good communication and operational fit for roles requiring stakeholder interaction. The focus on healthcare analytics projects indicates an ability to work with sensitive data and complex domain requirements.