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Anindya Sundar Das

@anindyasundardas

Message

Data Engineer and Associate Consultant building scalable ETL/ELT pipelines for reliable analytics.

India

Message

What I'm looking for

I’m looking for a role where I can design scalable, cloud-native ETL/ELT pipelines, enforce data quality and validation, and deliver defect-free deployments with strong SLAs—using PySpark, Databricks, and AWS to enable faster, reliable analytics.

I’m a highly motivated Data Engineer and Associate Consultant with 3+ years of experience designing, developing, and optimizing scalable ETL/ELT pipelines and big data workflows. I’m proficient in cloud-native architectures, PySpark, Spark SQL, Databricks, Delta Lake, AWS, and SQL, with a proven track record of delivering defect-free deployments that enhance data reliability for enterprise analytics.

At Capgemini, I’ve designed and maintained high-performance ETL/ELT pipelines using PySpark, Spark SQL, Databricks, and AWS, improving data throughput by 30%. I’ve led modernization and migration initiatives with 100% defect-free deployment, implemented data quality, validation, and audit checks, and automated documentation workflows for over 4500 scripts—reducing onboarding time and analysis efforts by 60%.

Experience

Work history, roles, and key accomplishments

Current

Associate Consultant (Data Engineer)

Current

Capgemini India

Feb 2023 - Present (3 years 4 months)

Designed and maintained scalable ETL/ELT pipelines with PySpark, Spark SQL, Databricks, and AWS, increasing data throughput by 30%. Led data lakehouse modernization and automated ingestion, validation, and documentation for 4,500+ scripts, achieving 100% defect-free deployments and reducing onboarding/analysis effort by 60% while cutting data errors by 15%.