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AWS Data Engineer @Infosys
AWS Data Engineer with 5+ years of IT experience, specializing in Apache Airflow, Python, PySpark, and AWS data services. Experienced in designing, building, and maintaining end-to-end ETL data pipelines using Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift for batch and incremental data processing. Strong expertise in workflow orchestration, data transformation, and performance optimization. Proficient in handling large-scale datasets, automating data ingestion, monitoring pipeline health, and troubleshooting failures to ensure reliable data delivery. Currently working at Infosys as an AWS Data Engineer, contributing to scalable cloud-based data platforms and analytics solutions.
NSHM College of Management and Technology
Bachelor of Technology - BTech, Mechanical Engineering
January 1, 2015 – January 1, 2019
Ghatal Vidyasagar High School
10+2, Science
January 1, 2013 – January 1, 2015
Infosys
AWS Data Engineer
February 1, 2025 – Present
Kolkata, West Bengal, India · Hybrid
Tata Consultancy Servicess
Data Engineer
October 1, 2023 – February 1, 2025
India · Hybrid
Tata Consultancy Servicess
GCP ETL Developer
March 1, 2021 – September 1, 2023
India · Hybrid
Apache Airflow
Astronomer
June 23, 2026 – Present
Palantir Foundry Data Engineer
Palantir Technologies
June 23, 2026 – Present
Palantir Foundry Application Developer
Palantir Technologies
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's experience is primarily focused on data engineering roles with specific tools (Palantir, Airflow, GCP). While this aligns with a Big Data Engineer role, the lack of diverse project experience or broader technology exposure limits the assessment of cultural fit beyond direct technical alignment. The candidate's education in Mechanical Engineering suggests a career transition into data engineering, which can indicate adaptability.
Soft Skills & Operational Fit
The provided data does not contain information to assess soft skills or operational fit. The candidate's experience descriptions are technical in nature.