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Jayashri Sase

@jayashrisase

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AWS Data Engineer specializing in PySpark ETL and scalable data lake pipelines for analytics.

India

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What I'm looking for

I’m looking for a role where I can build and optimize AWS-based data lake and ETL/ELT pipelines, run reliable PySpark batch jobs for large volumes, and deliver dimensional models with strong monitoring, validation, and automation for analytics.

I’m an AWS Data Engineer with across 3 years of experience building scalable data lake and ETL solutions using AWS services including S3, Glue, EMR, Lambda, Step Functions, Athena, and Redshift. I design batch data pipelines and implement dimensional data models that support reporting and analytics.

At KFIN TECHNOLOGY, I built AWS-based data lake architecture with Raw, Processed, and Data Mart layers, and delivered automated workflows using Step Functions, Lambda, and EventBridge. I’ve processed 100GB+ daily loads and optimized Spark jobs using caching, partitioning, and broadcast joins to reduce execution time.

I’m strong in Python, SQL, and distributed data processing with PySpark, and I focus on reliability through data validation, monitoring, error handling, and logging. I also collaborate with analytics teams to provide structured, reliable datasets and transform data from SQL Server, APIs, and CSV sources for downstream dashboards and decision-making.

Experience

Work history, roles, and key accomplishments

Data Engineer

KFin Technologies

Nov 2021 - Jul 2025 (3 years 8 months)

Built scalable AWS data lake and ETL pipelines processing 100GB+ daily loads using S3, Glue, EMR, Athena, and Redshift. Designed dimensional data models, automated ingestion/workflows with Step Functions/Lambda/EventBridge, and optimized PySpark jobs for faster large-scale processing.