Data Analyst with 5+ years in ETL Development & Data Modeling
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst / Qlik Developer with 5 years of experience in ETL development, data modeling, and dashboard creation across Life Sciences and CPG domains. Expertise in QlikView, Qlik Sense, NPrinting, and Pentaho (PDI). Proven ability to build scalable data pipelines, optimize QVD architecture, and deliver accurate, insight-driven dashboards. Strong focus on data quality, performance optimization, and stakeholder collaboration.
Mumbai University
Bachelor of Engineering · Electronics & Telecommunication
January 1, 2016 – January 1, 2020
Saama Technologies Pvt. Ltd.
Qlik Developer
June 1, 2023 – Present
Pune, Maharashtra, India
Saama Technologies Pvt. Ltd.
Data Analyst
June 1, 2021 – May 31, 2023
Pune, Maharashtra, India
Developed QVD generator scripts
January 1, 2021 – December 31, 2023
Developed QVD generator scripts to transform raw data into optimized QVD layers.
Designed QVD-based data architecture
January 1, 2021 – December 31, 2023
Designed QVD-based data architecture, improving dashboard performance and reusability.
Performed report validation
January 1, 2021 – December 31, 2023
Performed report validation (daily, weekly, monthly) ensuring data accuracy.
Built and maintained QlikView dashboards
January 1, 2021 – December 31, 2023
Built and maintained QlikView dashboards aligned with business requirements.
Delivered automated reports and stakeholder-ready dashboards
January 1, 2021 – December 31, 2023
Delivered automated reports and stakeholder-ready dashboards using NPrinting.
Migrated QlikView applications
January 1, 2021 – December 31, 2023
Migrated QlikView applications from legacy systems to new environments ensuring seamless transition.
Cultural Fit Analysis
The candidate has experience across Life Sciences and CPG domains, indicating adaptability to different business contexts. Their work at Saama Technologies Pvt. Ltd. for clients like Genentech and Unilever suggests exposure to diverse project requirements and client-facing roles. The breadth of tools and responsibilities (ETL, data modeling, dashboarding, validation, production support) points to a versatile and collaborative mindset, which generally aligns with a positive cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates a strong focus on data quality, performance optimization, and stakeholder collaboration through their project descriptions and work experience. Their experience in production support indicates problem-solving and operational reliability. The resume highlights a structured approach to data management and reporting.