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Data Engineer with 7+ years in SQL, PySpark & Cloud Platforms.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SQL-focused Data Engineer Associate with 7 years of Overall experience in data and analytic roles, and hands-on experience with Databricks on AWS, PySpark based data transformations, and Qlik Sense analytics. Highly proficient in complex SQL queries, data validation, and delivering scalable, analytics-ready data Solution.
University of Delhi
BSc (Hons)
August 1, 2015 – June 30, 2018
Capgemini
Data Engineer
August 1, 2024 – Present
Pune, Maharashtra, India
Cognizant
Data Analyst
May 1, 2022 – August 1, 2024
Kolkata, West Bengal, India
Tata Consultancy Service
Data Analyst
April 1, 2019 – May 1, 2022
Kolkata, West Bengal, India
Cultural Fit Analysis
The candidate has worked for large, reputable IT services companies (Capgemini, Cognizant, TCS), indicating adaptability to structured environments. The progression from Data Analyst to Data Engineer aligns with a growth mindset. The diverse project experience across different companies suggests an ability to integrate into various team cultures and project demands. The skills listed are highly relevant to a Data Engineer role, indicating a good fit for the target role.
Soft Skills & Operational Fit
The candidate's resume indicates experience in partnering with cross-functional teams to gather requirements and troubleshoot data issues, suggesting good collaboration and problem-solving skills. The focus on ensuring data quality and adherence to best practices points to an operational mindset.