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Data Engineer with an MSc in Data Science & AI and production experience at Amadeus, designing and maintaining large-scale distributed data pipelines on AWS. I specialize in Spark-based ETL systems, Scala/PySpark migration, and improving pipeline performance and stability while processing millions of records in production. I work across data modeling, batch processing, Linux, and distributed architectures, with strong foundations in SQL and automation. I’ve also built CI/CD deployment workflows and developed end-to-end data/ML and data-engineering projects, from ingestion to evaluation.…Data Engineer with an MSc in Data Science & AI and production experience at Amadeus, designing and maintaining large-scale distributed data pipelines on AWS. I specialize in Spark-based ETL systems, Scala/PySpark migration, and improving pipeline performance and stability while processing millions of records in production. I work across data modeling, batch processing, Linux, and distributed architectures, with strong foundations in SQL and automation. I’ve also built CI/CD deployment workflows and developed end-to-end data/ML and data-engineering projects, from ingestion to evaluation.

Aritra Mondal

Data Engineer, Data Scientist, Programmer, +2

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Data Engineer with an MSc in Data Science & AI and production experience at Amadeus, designing and maintaining large-scale distributed data pipelines on AWS. I specialize in Spark-based ETL systems, Scala/PySpark migration, and improving pipeline performance and stability while processing millions of records in production. I work across data modeling, batch processing, Linux, and distributed architectures, with strong foundations in SQL and automation. I’ve also built CI/CD deployment workflows and developed end-to-end data/ML and data-engineering projects, from ingestion to evaluation.…Data Engineer with an MSc in Data Science & AI and production experience at Amadeus, designing and maintaining large-scale distributed data pipelines on AWS. I specialize in Spark-based ETL systems, Scala/PySpark migration, and improving pipeline performance and stability while processing millions of records in production. I work across data modeling, batch processing, Linux, and distributed architectures, with strong foundations in SQL and automation. I’ve also built CI/CD deployment workflows and developed end-to-end data/ML and data-engineering projects, from ingestion to evaluation.

Available to hire

Data Engineer with an MSc in Data Science & AI and production experience at Amadeus, designing and maintaining large-scale distributed data pipelines on AWS. I specialize in Spark-based ETL systems, Scala/PySpark migration, and improving pipeline performance and stability while processing millions of records in production.

I work across data modeling, batch processing, Linux, and distributed architectures, with strong foundations in SQL and automation. I’ve also built CI/CD deployment workflows and developed end-to-end data/ML and data-engineering projects, from ingestion to evaluation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Beginner

Beginner

Language

Hindi

Fluent

Bengali

Fluent

English

Fluent

French

Intermediate

Spanish; Castilian

Beginner

Assamese

Intermediate

Oriya

Advanced

Work Experience

Data Engineer (Apprenticeship) at Amadeus

August 1, 2023 - September 1, 2024

Designed and maintained large-scale ETL pipelines on AWS (EMR, S3) supporting distributed data processing workflows across multiple data sources. Migrated PySpark-based pipelines to Scala, improving processing throughput by 35% and reducing cluster resource consumption via optimized execution. Optimized data ingestion and transformation workflows handling millions of records in production, improving stability and performance. Automated CI/CD deployment workflows using Jenkins and Bash to ensure reliable and repeatable data pipeline delivery.

Android Developer (Intern) at Jungleworks

November 1, 2020 - April 1, 2021

Developed Android applications and integrated backend APIs to support data exchange and application logic. Worked with REST-based data exchange systems, including debugging, validation, and integration testing across client-server workflows.