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Bhoomika B R

@bhoomikabr

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AWS Data Engineer specializing in PySpark ETL and cloud data platforms.

India

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What I'm looking for

I seek a data-engineering role leveraging AWS/GCP to build scalable ETL pipelines, apply PySpark optimizations, and integrate LLM-driven tooling within a collaborative, growth-focused team.

I am an AWS Data Engineer with 4.2+ years of experience designing, developing, and implementing robust ETL data pipelines using PySpark and SnapLogic across AWS and GCP environments. I have built live data layers on S3, created Athena Iceberg tables for a lakehouse architecture, and integrated AWS Glue, Redshift, Databricks, and BigQuery to deliver production-grade data solutions.

I have improved Spark performance (reducing processing time by ~40%), automated event-driven pipelines with Lambda and Glue Workflows, and applied ML preprocessing and LLM (OpenAI/Mistral) capabilities to streamline ETL generation via prompt engineering. I hold multiple cloud and data engineering certifications and have been recognized with client and employer awards for delivery excellence and integrity.

Experience

Work history, roles, and key accomplishments

Current

AWS Data Engineer

Current

Capgemini

Jul 2024 - Present (1 year 3 months)

Built and maintained ETL data pipelines using PySpark and SnapLogic to load live data into S3 and create an Athena Iceberg lakehouse, ensuring PII encryption and enabling efficient analytics. Implemented AWS Glue jobs to load data into Redshift and optimized Spark processing to reduce pipeline time by ~40%.

Pyspark Snaplogic AWS Glue S3 Athena Redshift)ETL

Data Engineer

Accenture

Sep 2021 - Jun 2024 (2 years 9 months)

Developed end-to-end PySpark ETL pipelines on GCP Dataproc and AWS, moving data between GCS/S3 and BigQuery/Redshift and applying medallion architecture for data quality. Automated event-driven pipeline executions, managed diverse file formats, and implemented incremental loading using DynamoDB for job metadata.