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Data Engineer with 8+ years in ETL, Data Warehousing & Cloud
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 Data Engineer with 7+ years of combined experience in data engineering, analytics, and IT project management. Expert in designing and maintaining ETL pipelines, data warehouses, and analytics dashboards across domains such as healthcare, fintech, BFSI, and e-commerce. Skilled in SQL, Python, MySQL, Power BI, and cloud-based data workflows. Strong background in automation, performance optimization, and translating business needs into data-driven insights.
West Bengal University of Technology
B.Tech · Computer Science & Engineering
N/A – June 30, 2015
Codelogicx Technologies
Senior Data Engineer / Project Manager
October 1, 2019 – Present
India
Tuli Eservices
Data Analyst / Business Analyst
August 1, 2018 – October 1, 2019
India
Wipro Ltd
Technical Analyst (ETL & Reporting)
May 1, 2016 – October 1, 2016
India
ICMR Healthcare Automation
June 23, 2026 – Present
Automated patient data tracking and reporting using Python and Power BI.
OnTrack Studio
June 23, 2026 – Present
Developed ETL workflows for fitness SaaS platform analytics dashboard.
SmileCare ERP
June 23, 2026 – Present
Designed and maintained MySQL database schema for dental management system.
ENT Allergy CRM
June 23, 2026 – Present
Built data pipelines integrating multiple hospital systems using REST APIs and MySQL.
Cultural Fit Analysis
The candidate's diverse project experience across healthcare, finance, and e-commerce sectors suggests adaptability and a broad understanding of different business contexts. The progression from Technical Analyst to Senior Data Engineer/Project Manager indicates a growth mindset and ambition. Experience in leading teams and collaborating with data scientists points to a team-oriented approach. The candidate's background in automating processes and optimizing performance aligns with a results-driven culture. The blend of technical and project management responsibilities suggests a candidate who can bridge technical implementation with strategic business goals.
Soft Skills & Operational Fit
The candidate's resume highlights experience in leading cross-functional teams and managing projects, indicating strong leadership and collaboration skills. The ability to translate business needs into data-driven insights suggests good analytical and problem-solving capabilities. Experience in migrating manual systems to automated pipelines demonstrates a proactive approach to efficiency and operational improvement. The role as 'Senior Data Engineer / Project Manager' indicates a blend of technical depth and project oversight, which is valuable for senior roles.