Open to opportunities

Bibi Chhetri

@bibichhetri

Message

Senior Data Engineer building cloud-native ETL/ELT pipelines for faster, governed analytics.

United States

Message

What I'm looking for

I’m looking for a team where I can build and optimize cloud data platforms—ETL/ELT, streaming, and governed data—while mentoring others and improving performance, reliability, and scalable analytics for real business outcomes.

I’m a Senior Data Engineer with over six years of experience designing and operating cloud-native data platforms across AWS and GCP. I focus on building and optimizing ETL/ELT pipelines using dbt, Airflow, Python, and SQL, and I’ve delivered measurable impact like a 40% reduction in data processing time through performance tuning and architectural enhancements.

I’ve led major migrations—moving on-premise HR data to GCP and transitioning Azure-based healthcare data to AWS—while modernizing warehousing with Snowflake and strengthening real-time streaming with Kafka/Pub-Sub and Kinesis. I pair engineering rigor with data governance (e.g., Great Expectations, GDPR/HIPAA alignment) and mentor teams; I also integrate machine learning workflows and deploy models for HR/claims use cases using VertexAI and AWS Sagemaker.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Humane

Apr 2024 - Present (2 years 2 months)

Led migration of on-prem HR data infrastructure to GCP, cutting costs by 30% and improving scalability. Built dbt and Airflow ETL/ELT pipelines and real-time Kafka/Pub-Sub streaming, reducing data processing time by 40% and improving Snowflake reporting speed by 35%.

Google BigQuery DBT Apache Airflow SQL Python Snowflake Apache Kafka Google Cloud Pub Sub Great Expectations Vertex AI

Data Engineer

Aetna

Feb 2022 - Mar 2024 (2 years 1 month)

Migrated Azure data infrastructure to AWS (Synapse/Data Lake to Redshift/S3/Glue), reducing infrastructure costs by 30% while maintaining healthcare operations. Designed ETL and real-time streaming with Glue/Airflow/Lambda/Kinesis and optimized Redshift performance, improving query performance by 35% and processing efficiency by 40%, with HIPAA-focused security controls.

AWS Glue Amazon Redshift Amazon S3 AWS Lambda Amazon Kinesis Apache Airflow Great Expectations IAM Amazon SageMaker Terraform

Data Developer

Best Buy Co.

Sep 2020 - Jan 2022 (1 year 4 months)

Migrated on-prem data processing to AWS, improving data processing speed by 25% and reducing infrastructure costs by 30%. Built scalable ELT/streaming pipelines with Spark/Glue and Kafka/Kinesis, improving processing time by 40%, increasing campaign effectiveness by 20%, and delivering automated governance with Great Expectations for 99.9% data accuracy.