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Open to opportunities

Isha Neupane

@ishaneupane

I build scalable cloud data platforms and real-time pipelines for financial analytics, risk, and fraud detection.

What I'm looking for

I'm looking to build secure, scalable cloud data platforms and real-time pipelines that power analytics, fraud and risk decisions, and AI/ML use cases while collaborating on strong engineering standards.

At Capital One, I lead 20+ production batch and streaming pipelines processing 400–600 GB of financial data daily for fraud detection, risk analytics, customer analytics, and reporting. I reduced a critical workflow from 4.5 hours to 3.2 hours while lowering annual processing costs by approximately $80K–$100K, and shortened transaction data availability to 5–10 minutes using Kinesis and Kafka.

I've also built banking data platforms at Wells Fargo and insurance analytics ETL solutions at Nationwide, using AWS, Azure, GCP, Spark, Databricks, Snowflake, dbt, Airflow, and Terraform. I focus on reusable, secure pipelines with data quality, observability, CDC, reliable orchestration, and practical engineering standards that help teams deliver trusted data faster.

Experience

Work history, roles, and key accomplishments

CO

Current

Senior Data Engineer

Current

Jun 2023 - Present (3 years 2 months)

Led design and development of 20+ production batch and streaming ETL/ELT pipelines using Python, SQL, PySpark, Apache Spark, AWS, Snowflake, and dbt, processing 400-600 GB of data daily. Optimized distributed workloads, reducing critical workflow runtime by 1.3 hours and lowering processing costs by $80K-$100K annually.

Python SQL PySpark Apache Spark AWS S3 Glue EMR Kinesis MSK Snowflake DBT Airflow Step Functions Terraform CloudFormation Git GitHub Actions Kubernetes Docker Cloudwatch Prometheus Grafana IAM VPC Parquet JSON Avro REST APIs

Education

Degrees, certifications, and relevant coursework

SU

Southeast Missouri State University

Bachelor of Science, Computer Science

Bachelor's degree in Computer Science from Southeast Missouri State University.

Availability

Open to opportunities

Location

United States

Authorized to work in

Job categories

Data Engineer Data Engineer ETL Developer Cloud Engineer Data Platform Engineer Analytics Engineer Data Warehouse Engineer Data Engineer Jobs Data Engineering Data Engineering Analyst Data Engineering Specialist Data Engineering Jobs Data Engineering Positions

Skills

Python SQL PySpark Apache Spark Java BASH Pandas ETL ELT Change Data Capture AWS S3 AWS Glue Amazon EMR Amazon Redshift Amazon Kinesis AWS Lambda Amazon Athena Snowflake DBT Databricks Delta Lake Apache Iceberg Airflow Terraform CloudFormation Docker Kubernetes CI CD Git GitHub Actions Azure Azure Data Factory Azure Databricks Data Lake Storage Gen2 Azure Synapse Azure Event Hubs Azure DevOps Google Cloud Platform BigQuery Google Cloud Storage Dataflow Google Cloud Dataproc Pub Sub Kafka PostgreSQL Oracle Microsoft SQL Server MySQL MongoDB Great Expectations Power BI Tableau Looker Prometheus Grafana Datadog Data Modeling Dimensional Models Data Quality Data Governance Data Observability Performance Optimization Amazon Quicksight AWS IAM Azure RBAC AWS Step Functions Azure Kubernetes Service Jenkins Jira JSON XML MLFlow azure monitor Windows Avro Azure Functions Apache Beam GitHub AWS Sagemaker Linux Amazon RDS Hadoop Cloudwatch Google Cloud Dataflow Lang Chain Column Bicep Factory Beam Microsoft Fabric Unity Catalog Microsoft Purview

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