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Gobinda Pokharel

@gobindapokharel

Senior data engineer building governed AWS/Azure/GCP Lakehouse pipelines and real-time fraud/AML analytics.

United States
Message

What I'm looking for

I want to keep building governed, cost-optimized lakehouse and real-time pipelines—strong orchestration, data quality, lineage, and observability—so teams can ship reliable fraud/AML and regulatory analytics faster.

I architected hybrid cloud data platforms across AWS and Azure at JPMorgan Chase & Co., integrating core banking, payment platforms, card transaction feeds, and customer activity datasets with Databricks, Snowflake, ADLS Gen2, and enterprise streaming services. I designed lakehouse architectures with Databricks Delta Lake, Unity Catalog, and Snowflake to enable governed processing of transaction, payment, customer, and risk datasets, cutting reconciliation issues by 40%.

I’ve also built distributed batch and real-time streaming pipelines with PySpark, Spark Structured Streaming, Kafka, AWS Kinesis, and Azure Event Hubs—processing 7.5 TB of payment events daily—and standardized AML reporting and compliance transformations with dbt across 14+ banking domains. I automate anomaly detection and monitoring using Microsoft Fabric, Azure AI Foundry, Monte Carlo, CloudWatch, and Azure Monitor, and I migrate legacy Hadoop ETL into cloud-native architectures to reduce operational costs and improve reliability.

Experience

Work history, roles, and key accomplishments

JPMorgan Chase & Co. logoJC
Current

Senior Data Engineer

Mar 2024 - Present (2 years 5 months)

Architected hybrid cloud data platforms across AWS and Azure, integrating core banking systems and payment platforms. Designed enterprise Lakehouse architecture using Databricks Delta Lake and Snowflake, reducing reconciliation issues by 40%.

Bank of America logoBA

Data Engineer

Aug 2022 - Feb 2024 (1 year 6 months)

Developed scalable ETL/ELT data pipelines using Apache Spark, PySpark, and SQL for transaction processing and fraud analytics. Built distributed batch and streaming data ingestion frameworks processing 4.2+ TB of financial data daily.

Education

Degrees, certifications, and relevant coursework

East Texas A&M University logoEU

East Texas A&M University

Master of Science, Business Analytics

Master's of Science in Business Analytics from East Texas A&M University.

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