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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineer with 10+ years in ETL/ELT Pipelines & Cloud Data Solutions
Senior Data Engineer with 12 + years of experience designing, developing, and optimizing enterprise-scale ETL/ELT pipelines across Banking, Insurance, Retail, E-commerce, and Healthcare domains. Expert in cloud-based data engineering solutions using AWS and Azure, with strong experience in ETL Talend Big Data migration, data warehousing, Hive, Hadoop filesystem technologies, and performance optimization. Proven leader with experience managing cross-functional teams and delivering high-quality, scalable, and cost-efficient data solutions.
Unknown
Bachelor of Engineering · Computer Science & Engineering
August 1, 2009 – June 30, 2013
LTIMindtree
Senior Specialist – Data Engineer
July 1, 2025 – Present
India
Citibank
Data Engineer
May 1, 2021 – July 1, 2025
India
Bitwise
System Analyst
July 1, 2017 – May 1, 2021
India
Atos Syntel
Software Engineer
December 1, 2013 – June 1, 2017
India
Cultural Fit Analysis
The candidate's diverse project experience across multiple industries (Banking, Insurance, Retail, E-commerce, Healthcare) and various companies (LTIMindtree, Citibank, Bitwise, Atos Syntel) suggests adaptability and a broad perspective, which are positive indicators for cultural fit. Their leadership roles and collaboration with business stakeholders also point to a team-oriented and communicative approach. The breadth of skills and tools used aligns well with dynamic and evolving technical environments.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and collaboration skills through leading development teams and working with Business Analysts and SMEs. Their experience in production support and data governance indicates a focus on reliability and compliance. The ability to migrate complex systems with high accuracy suggests meticulousness and problem-solving capabilities. The candidate's experience across various industries and technologies indicates adaptability and a broad operational fit.