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Data Engineer with 7+ years in Data Visualization, ETL & Cloud Data Warehousing
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Tableau Developer and Data Engineer with 6 years of experience specializing in data visualization, ETL processes, and cloud-based data warehousing. Expert in designing interactive Tableau dashboards for marketing science and building scalable data pipelines on Google Big Query with Pentaho Data Integration (PDI). Proven ability to transform complex clinical and sales data into actionable insights, with a strong interest in applying this expertise to health information services and marketing analytics.
University of Mumbai
Masters in Data Science & Big Data Analytics · Data Science & Big Data Analytics
August 1, 2021 – June 30, 2023
University of Mumbai
Bachelors in Computer Science · Computer Science
August 1, 2018 – June 30, 2021
IQVIA RDS
Data Engineering Analyst
May 1, 2023 – Present
India
PharmaLeaf India Private Limited
Data Engineering Associate
June 1, 2022 – May 1, 2023
India
Mobilestyx Consulting & Solutions
Senior Data Analyst Manager
June 1, 2021 – June 1, 2022
India
Infoters Private Limited
Business Intelligence Developer
January 1, 2019 – June 1, 2021
India
Google Data Analytics Certificate
June 1, 2026 – Present
Tableau for Data Scientists
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans multiple companies, including a large pharmaceutical research organization (IQVIA RDS) and smaller consulting firms, indicating adaptability to different work environments. Their work on diverse projects, from clinical reports to sales data and marketing analytics, shows a broad interest and ability to apply data engineering skills across various domains. The focus on efficiency improvements and data reliability aligns with a results-oriented culture. The candidate's continuous learning through certifications and a Master's degree in Data Science and Big Data Analytics suggests a proactive and growth-oriented mindset, which is a good cultural fit for dynamic tech environments.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, as evidenced by their work in performance tuning and developing data validation frameworks. Their experience in requirement gathering, stakeholder management, and translating business needs into technical specifications indicates good communication and collaboration abilities. The candidate's involvement in training suggests leadership and initiative. These soft skills align well with the operational demands of a senior data engineering role.