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Hi, I am Subhaj Sapkota, a Data Engineer and Data Analyst with a track record of building and optimizing large-scale data pipelines, real-time streaming solutions, and cloud analytics across AWS, Azure, and GCP. I design scalable data models, improve ETL performance, and deliver actionable insights for finance, aviation, and digital payments. I enjoy collaborating with cross-functional teams of engineers, data scientists, and business stakeholders to translate requirements into analytics workflows, deploy ML-enabled insights, and deliver dashboards that empower decision making.…Hi, I am Subhaj Sapkota, a Data Engineer and Data Analyst with a track record of building and optimizing large-scale data pipelines, real-time streaming solutions, and cloud analytics across AWS, Azure, and GCP. I design scalable data models, improve ETL performance, and deliver actionable insights for finance, aviation, and digital payments. I enjoy collaborating with cross-functional teams of engineers, data scientists, and business stakeholders to translate requirements into analytics workflows, deploy ML-enabled insights, and deliver dashboards that empower decision making.

Subhaj Sapkota

Data Analyst, Data Scientist, Data Visualizer, +6

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Hi, I am Subhaj Sapkota, a Data Engineer and Data Analyst with a track record of building and optimizing large-scale data pipelines, real-time streaming solutions, and cloud analytics across AWS, Azure, and GCP. I design scalable data models, improve ETL performance, and deliver actionable insights for finance, aviation, and digital payments. I enjoy collaborating with cross-functional teams of engineers, data scientists, and business stakeholders to translate requirements into analytics workflows, deploy ML-enabled insights, and deliver dashboards that empower decision making.…Hi, I am Subhaj Sapkota, a Data Engineer and Data Analyst with a track record of building and optimizing large-scale data pipelines, real-time streaming solutions, and cloud analytics across AWS, Azure, and GCP. I design scalable data models, improve ETL performance, and deliver actionable insights for finance, aviation, and digital payments. I enjoy collaborating with cross-functional teams of engineers, data scientists, and business stakeholders to translate requirements into analytics workflows, deploy ML-enabled insights, and deliver dashboards that empower decision making.

Available to hire

Hi, I am Subhaj Sapkota, a Data Engineer and Data Analyst with a track record of building and optimizing large-scale data pipelines, real-time streaming solutions, and cloud analytics across AWS, Azure, and GCP. I design scalable data models, improve ETL performance, and deliver actionable insights for finance, aviation, and digital payments.

I enjoy collaborating with cross-functional teams of engineers, data scientists, and business stakeholders to translate requirements into analytics workflows, deploy ML-enabled insights, and deliver dashboards that empower decision making.

Skills

Experience Level

Expert

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Intermediate

Language

English

Fluent

Work Experience

Data Engineer / Data Analyst at PayPal

September 1, 2023 - Present

Collaborated with business stakeholders to translate analytical requirements into scalable data solutions that improved customer insights, operational reporting, and decision-making. Worked with cross-functional teams (data engineers, data scientists, ML engineers, analysts) to design analytics workflows for predictive modeling, customer segmentation, anomaly detection, and performance tracking. Analyzed high-volume transactional data using Spark, Azure Databricks, and Spark-SQL to deliver real-time customer behavior insights. Supported Azure Data Factory pipeline optimization, contributing to a 50% reduction in ETL processing time for financial and operational datasets. Implemented real-time insights pipelines with Spark Streaming and Kafka on Azure HDInsight to support fraud detection and network anomaly monitoring. Improved Snowflake OLAP/OLTP models, increasing query performance by 45% and accelerating churn, engagement, and revenue analytics. Automated ML retraining pipelines with

Data Engineer / Data Analyst at American Airlines

October 1, 2021 - August 31, 2023

Collaborated with stakeholders to gather requirements and design scalable data solutions for flight operations, customer analytics, and revenue management. Developed Spark applications (Spark-SQL) on AWS EMR to process high-volume transactional data, enabling real-time insights into customer behavior and flight performance. Implemented dbt and efficient data structures in Spark and Snowflake to streamline ETL processes and enhance data retrieval speeds. Built real-time data streaming pipelines using Spark Streaming and Kafka on AWS MSK, enabling event-driven architectures for flight delay prediction and baggage tracking. Optimized BigQuery data models on GCP for customer analytics dashboards, boosting query performance. Migrated legacy MapReduce programs to Spark (Scala/PySpark), reducing processing time for flight logs. Automated machine learning model retraining using Apache Airflow on GCP, streamlining the deployment of predictive models for flight demand forecasting and dynamic pri

Data Engineer at Visa

July 1, 2020 - September 30, 2021

Gathered and analyzed business requirements to design scalable data solutions for processing high-volume payment transactions in line with global security and compliance standards. Developed and maintained ETL pipelines using Spark, PySpark, and Scala, optimizing transaction data processing and overall pipeline efficiency. Built and optimized real-time fraud detection pipelines using Kafka, Spark Streaming, and Flink to support risk scoring across payment networks. Designed AWS-based data pipelines leveraging Lambda, API Gateway, S3, and DynamoDB to automate event-driven fraud monitoring. Integrated merchant, issuer, and cardholder datasets into Lambda and Databricks for real-time financial reporting. Automated AML and compliance monitoring workflows using Airflow, Snowflake, and SQL. Optimized enterprise data warehouse schemas (Star and Snowflake) to reduce query latency for analysts. Created interactive dashboards with Looker and Power BI for finance and risk teams. Migrated OBIEE re

Data Engineer/Data Analyst at PayPal

September 1, 2023 - Present

Collaborated with business stakeholders to translate analytical requirements into scalable data solutions that improved customer insights, operational reporting, and decision-making. Analyzed high-volume transactional data with Spark, Azure Databricks, and Spark-SQL to deliver real-time customer behavior insights. Optimized Azure Data Factory pipelines, contributing to a 50% reduction in ETL processing time for financial and operational datasets. Implemented real-time fraud detection pipelines using Spark Streaming and Kafka on Azure HDInsight, supported automated ML model retraining with Apache Airflow, and enhanced Snowflake OLAP/OLTP models to boost query performance by 45% for churn and revenue analytics. Migrated legacy MapReduce workloads to Spark/Scala, enabling faster network log analysis. Built real-time dashboards with Power BI and migrated OBIEE reports to Power BI to enable self-service analytics. Contributed to automated ML workflows using AWS Step Functions and containeri

Data Engineer/Data Analyst at American Airlines

October 1, 2021 - August 1, 2023

Collaborated with stakeholders to design scalable data solutions for flight operations, customer analytics, and revenue management. Developed Spark applications in AWS EMR to process high-volume booking and customer data, enabling real-time insights into flight performance and customer behavior. Implemented dbt and optimized Spark and Snowflake data structures to streamline ETL and data retrieval. Designed data pipelines using GCP Dataflow, reducing ETL execution time by 48%. Built real-time streaming pipelines with Spark Streaming and Kafka on AWS MSK for flight delay prediction and baggage tracking. Optimized BigQuery data models for customer analytics dashboards, improving query performance by 42%. Migrated legacy MapReduce programs to Spark, cutting processing time by 55%. Automated ML retraining with Airflow on GCP for demand forecasting and dynamic pricing. Deployed TensorFlow/Scikit-learn models on AWS SageMaker for predictive maintenance; created Tableau dashboards and migrated