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Prem Bashyal

@prembashyal

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Senior Data Engineer transforming enterprise data into governed, scalable ELT pipelines for banking and AI/ML.

Nepal

Message

What I'm looking for

I’m looking to be a Data Engineer Officer who builds reliable, governed ETL/ELT pipelines on AWS/Snowflake, partners with data scientists for ML-ready datasets, and improves latency, quality, and cost—while mentoring engineers.

I’m a results-driven Senior Data Engineer with 5+ years designing and deploying enterprise-grade ETL/ELT pipelines, cloud data warehouses, and scalable data infrastructure.

In Nepal’s Banking and Fintech space, I support AI/ML initiatives by building high-quality, governance-compliant data ecosystems—turning raw, complex data into reliable assets for intelligent decision-making.

At Kumari Bank Limited, I architected end-to-end ELT pipelines (Python + dbt + Apache Airflow) processing 10M+ daily transaction records into Snowflake, reducing reporting latency by 65%. I also built a multi-layer AWS S3 data lake (Bronze/Silver/Gold), and implemented governance with data lineage, PII masking (column-level encryption), and RBAC to align with NRB Data Localization Directive.

I enjoy working end-to-end: migrating on-prem Oracle to AWS Redshift (3× query performance at 30% lower cost), introducing automated data quality checks with Great Expectations (catching 98% of anomalies), and collaborating with data scientists to cut feature engineering time by 40% while deploying ML serving for 50K+ loan applicants. I’ve also led a team of 2 junior engineers through code reviews, sprint planning (Jira), and knowledge transfer.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Kumari Bank Limited

Jan 2022 - Present (4 years 3 months)

Architected and deployed end-to-end ELT pipelines (Python, dbt, Airflow) processing 10M+ daily transaction records into Snowflake, reducing reporting latency by 65%. Built AWS S3 multi-layer data lake and implemented governance (lineage, PII masking, RBAC), while improving feature engineering time by 40% for credit risk ML and automating NRB reporting to cut monthly manual compilation by 20+ hours

Python SQL DBT Apache Airflow AWS S3 Snowflake Data Governance RBAC Masking Great Expectations Terraform

Data Engineer

Inficare Technology Pvt. Ltd.

Mar 2020 - Dec 2021 (1 year 9 months)

Built real-time transaction monitoring pipelines using Kafka and Spark Streaming for fraud detection serving 3 commercial bank clients. Developed Python ETL integrating payment gateway APIs (eSewa, Khalti, ConnectIPS), processing NPR 2B+ monthly transactions, and automated Power BI dashboards to save 15+ hours per week of manual reporting.

Apache Kafka Python Power BI SQL Server PostgreSQL Payment Gateways Data Migration Redis ETL

Junior Data Analyst

Deloitte Consulting Nepal

Aug 2018 - Feb 2020 (1 year 6 months)

Supported dimensional modeling (Star schema) for NIC Asia Bank analytics warehouse and wrote complex SQL queries and PL/SQL procedures to automate month-end reconciliation reports, reducing manual effort by 60%. Performed root-cause analysis for data quality issues across CASA, Loans, and Trade Finance modules.

SQL Pl SQL Data Reconciliation Root Cause Analysis Oracle Database Reporting