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I am Urja Shrestha, a strategic and results-driven Data Engineer who designs and builds robust, scalable data pipelines and analytics platforms across cloud environments (AWS, Azure), big data ecosystems, and streaming technologies. I specialize in end-to-end data solutions using Python, SQL, and Spark, with hands-on expertise in dbt, Snowflake, Kafka, and Databricks. I have a track record of delivering real-time and batch processing systems for high-volume, mission-critical applications and leading cross-functional data initiatives. I collaborate with data scientists, analysts, and business stakeholders to deliver trusted, scalable insights, with a strong focus on governance, quality, and regulatory compliance. I enjoy solving complex data challenges, mentoring junior engineers, and driving automation and performance optimization across data ecosystems.…I am Urja Shrestha, a strategic and results-driven Data Engineer who designs and builds robust, scalable data pipelines and analytics platforms across cloud environments (AWS, Azure), big data ecosystems, and streaming technologies. I specialize in end-to-end data solutions using Python, SQL, and Spark, with hands-on expertise in dbt, Snowflake, Kafka, and Databricks. I have a track record of delivering real-time and batch processing systems for high-volume, mission-critical applications and leading cross-functional data initiatives. I collaborate with data scientists, analysts, and business stakeholders to deliver trusted, scalable insights, with a strong focus on governance, quality, and regulatory compliance. I enjoy solving complex data challenges, mentoring junior engineers, and driving automation and performance optimization across data ecosystems.

Urja Shrestha

Data Scientist, Data Analyst, Full Stack Developer, +2

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I am Urja Shrestha, a strategic and results-driven Data Engineer who designs and builds robust, scalable data pipelines and analytics platforms across cloud environments (AWS, Azure), big data ecosystems, and streaming technologies. I specialize in end-to-end data solutions using Python, SQL, and Spark, with hands-on expertise in dbt, Snowflake, Kafka, and Databricks. I have a track record of delivering real-time and batch processing systems for high-volume, mission-critical applications and leading cross-functional data initiatives. I collaborate with data scientists, analysts, and business stakeholders to deliver trusted, scalable insights, with a strong focus on governance, quality, and regulatory compliance. I enjoy solving complex data challenges, mentoring junior engineers, and driving automation and performance optimization across data ecosystems.…I am Urja Shrestha, a strategic and results-driven Data Engineer who designs and builds robust, scalable data pipelines and analytics platforms across cloud environments (AWS, Azure), big data ecosystems, and streaming technologies. I specialize in end-to-end data solutions using Python, SQL, and Spark, with hands-on expertise in dbt, Snowflake, Kafka, and Databricks. I have a track record of delivering real-time and batch processing systems for high-volume, mission-critical applications and leading cross-functional data initiatives. I collaborate with data scientists, analysts, and business stakeholders to deliver trusted, scalable insights, with a strong focus on governance, quality, and regulatory compliance. I enjoy solving complex data challenges, mentoring junior engineers, and driving automation and performance optimization across data ecosystems.

Available to hire

I am Urja Shrestha, a strategic and results-driven Data Engineer who designs and builds robust, scalable data pipelines and analytics platforms across cloud environments (AWS, Azure), big data ecosystems, and streaming technologies. I specialize in end-to-end data solutions using Python, SQL, and Spark, with hands-on expertise in dbt, Snowflake, Kafka, and Databricks. I have a track record of delivering real-time and batch processing systems for high-volume, mission-critical applications and leading cross-functional data initiatives.

I collaborate with data scientists, analysts, and business stakeholders to deliver trusted, scalable insights, with a strong focus on governance, quality, and regulatory compliance. I enjoy solving complex data challenges, mentoring junior engineers, and driving automation and performance optimization across data ecosystems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Engineer at Target

February 1, 2022 - Present

Designed and deployed scalable ELT pipelines using dbt and Snowflake, transforming raw data into analytics-ready models and significantly enhancing query performance and processing efficiency. Led migration of legacy ETL systems to cloud-native Snowflake data warehouse, modernizing the data infrastructure and reducing long-term maintenance costs. Developed end-to-end workflow orchestration using Apache Airflow, ensuring timely data availability through robust scheduling, monitoring, error handling, and automated alerting systems. Built data marts and implemented dimensional data models to support finance and supply chain analytics, enabling faster business intelligence insights and supporting executive decision-making. Automated data validation, anomaly detection, and rule-based quality checks using custom Python scripts, seamlessly integrated within Airflow DAGs to ensure reliability and trust in critical datasets. Partnering with stakeholders across 12+ business units to define data

Data Engineer at T-Mobile

September 1, 2019 - December 1, 2021

Designed and implemented real-time data streaming pipelines using Apache Kafka and Apache Flink, enabling the processing and enrichment of over 1 million events per minute for customer behavior tracking and operational analytics. Developed customer behavior analytics workflows using Spark Streaming and Scala, powering targeted marketing initiatives and personalization efforts based on clickstream and usage data. Integrated components of the Hadoop ecosystem, including HDFS, Hive, and HBase, to enable scalable batch and real-time data processing of large-scale telecom datasets. Implemented schema evolution and version control mechanisms for Kafka topics, ensuring backward compatibility and reducing deployment risk for continuously evolving event schemas. Optimized HBase table designs, adjusted compaction strategies, and fine-tuned performance settings to significantly reduce query latency and support high throughput read requirements for real-time dashboards. Managed and orchestrated co

Data Engineer at Delta Airlines

June 1, 2017 - August 1, 2019

Led the migration of legacy on-prem SQL Server pipelines to Azure Synapse Analytics, enhancing performance, scalability, and reducing infrastructure overhead for enterprise-wide reporting. Designed and implemented complex ETL workflows using Azure Data Factory (ADF) to integrate and transform data from diverse internal systems and third-party vendors into curated analytical layers. Built domain-specific data models in Databricks (PySpark) to support operational analytics across flight operations, crew scheduling, and aircraft maintenance, ensuring efficient query performance and data consistency. Developed custom ADF connectors to ingest data via REST APIs and FTP, facilitating seamless integration of vendor and partner datasets into Delta’s analytics ecosystem. Built a data lake on Azure Data Lake Storage Gen2, establishing structured bronze-silver-gold layers to support governance, lineage tracking, and scalable storage of semi-structured and structured data. Created interactive Po