Data Engineer with 4+ years in AWS, PySpark & ETL optimization
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Assessing your cultural and operational fit
Data Engineer with 4+ years of experience building scalable data pipelines using PySpark, AWS (S3, Glue, Redshift), and Airflow. Skilled in ETL optimization, data modeling, and big data processing, delivering high-performance solutions in the banking domain.
Chaibasa Engineer College
B.Tech · CSE
August 1, 2017 – June 30, 2020
Government Women's Polytechnic
Diploma · CSE
August 1, 2012 – June 30, 2015
Tata Consultancy Services
Data Engineer
December 1, 2021 – Present
Bengaluru, Karnataka, India
Microsoft Certified: Power BI Data Analyst Associate
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Tata Consultancy Services, a large service-based organization, suggests adaptability to diverse project environments and client requirements. The listed awards for 'Special Initiative', 'Service & Commitment', and 'Best Team' indicate a strong alignment with collaborative and performance-driven cultures. The breadth of skills across AWS, PySpark, and Power BI, combined with experience in the banking sector, demonstrates versatility and a willingness to acquire new skills, which is beneficial for dynamic team environments. The target role of Data Engineer aligns perfectly with the candidate's current role and stated expertise.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with stakeholders to understand business needs and data requirements, indicating good communication and teamwork skills. The awards listed (Special Initiative, Service & Commitment, Best Team) suggest a proactive attitude, conscientiousness, and ability to work effectively within a team. The focus on optimizing PySpark jobs and Power BI solutions points to a results-oriented approach and problem-solving capabilities.