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Prasuna Bista

@prasunabista

Message

Senior Data Engineer specializing in cloud-native scalable data platforms and ETL modernization.

United States

Message

What I'm looking for

I seek senior-level roles building scalable cloud data platforms, modernizing ETL, and mentoring teams in a collaborative, security-conscious environment.

I am a Senior Data Engineer with over six years building cloud-based data architectures, refactoring legacy ETL into modular Python and DBT pipelines, and delivering scalable batch and real-time solutions using Spark, Databricks, Kafka, and cloud services across AWS, Azure, and GCP.

I have led cross-functional teams, automated infrastructure with Terraform and CI/CD, enforced data governance for HIPAA/GDPR compliance, and supported ML pipelines with MLflow and SageMaker—consistently improving pipeline reliability, reducing costs, and enabling data-driven decisions.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Johnson & Johnson

Feb 2024 - Present (1 year 8 months)

Designed scalable ETL and streaming pipelines processing over 5TB/day using PySpark, Databricks, and Dataflow; migrated on-prem systems to cloud and reduced provisioning effort by 70% while cutting pipeline failures by 40%.

Pyspark Databricks Apache Airflow Terraform Snowflake Kafka Azure Data Factory AWS

Analytics Engineer

Bank of America

Jun 2021 - Jan 2024 (2 years 7 months)

Built modular ETL pipelines with Azure Data Factory, Databricks and Matillion, migrated on-prem workloads to Snowflake/BigQuery reducing infrastructure costs by 40% and achieving 95% job success rate.

Azure Data Factory Databricks Pyspark DBT Snowflake Matillion Terraform Apache Airflow

ETL Developer / Data Analyst

Charles Schwab

Jul 2019 - May 2021 (1 year 10 months)

Engineered Hadoop and cloud ETL pipelines using AWS Glue, Informatica and Spark, improving data ingestion speed by 30% and enabling self-service reporting via Redshift and Snowflake.