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BISWAS POUDEL

@biswaspoudel14

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Senior Data Engineer specializing in cloud-native, high-performance data platforms.

United States

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What I'm looking for

I seek a Senior Data Engineering role building secure, scalable cloud data platforms, emphasizing real-time/batch pipelines, mentoring, and cross-functional collaboration in regulated industries.

Senior Data Engineer (6+ years) specializing in cloud-native data platforms on GCP—Databricks, Spark, BigQuery, dbt, and Airflow. I build secure, scalable batch + streaming pipelines (Kafka/Pub/Sub), design lakehouse and curated analytics models, and ship production-grade data products with strong governance, lineage, and auditability. Known for partnering closely with stakeholders, setting engineering standards (CI/CD, Terraform), and improving reliability through data quality checks, monitoring, and SLA-driven operations. Based in Irving, TX; open to remote roles.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

JPMorgan Chase

Apr 2024 - Present (1 year 10 months)

Architected and led development of enterprise-scale Azure data platforms supporting real-time and batch analytics for large financial datasets, improving reliability and security across pipelines. Implemented Databricks/PySpark processing, Delta Lake medallion architecture, Snowflake optimizations, and CI/CD to increase platform scalability and governance.

Databricks Pyspark Delta Lake Azure Data Factory Snowflake Azure Event Hubs CI CD Data Governance

Data Engineer

Fifth Third Bank

May 2020 - Mar 2024 (3 years 10 months)

Designed and implemented scalable AWS cloud data engineering solutions for healthcare and financial datasets, building end-to-end pipelines with Glue/Databricks and Snowflake to enable secure analytics and reduce processing latency. Developed CI/CD, data quality frameworks, and governed data lake architectures.

AWS Glue Databricks Pyspark Snowflake S3 Athena CI CD Data Quality

Big Data Developer

Goldman Sachs

Oct 2019 - Apr 2020 (6 months)

Developed and optimized on-premise Hadoop-based ETL solutions using MapReduce, Hive, and Informatica to process high-volume financial data, improving batch throughput and enabling compliant risk and regulatory reporting. Built Java MapReduce jobs, HiveQL optimizations, and enterprise data warehouse schemas.