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Sangay Tenzin

@sangaytenzin

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Results-driven Data Engineer with 6+ years of experience.

United States

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth opportunities.

I am a results-driven Data Engineer with over 6 years of experience in building scalable ETL/ELT pipelines, backend systems, and real-time streaming solutions. My expertise lies in Python, Spark, and Kafka, complemented by hands-on experience with cloud technologies such as AWS, Azure, and GCP. I have a proven track record of optimizing data workflows and enhancing data architectures, which has significantly improved analytics capabilities in healthcare and other sectors.

Throughout my career, I have successfully developed and optimized PySpark-based ETL pipelines, engineered near real-time ingestion systems, and designed microservices for secure data exchange. My collaborative approach and strong communication skills have allowed me to lead teams effectively, mentor junior engineers, and ensure compliance with industry standards. I am passionate about leveraging data to drive insights and support decision-making processes.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Change Healthcare

Jun 2023 - Present (2 years 2 months)

Built and optimized PySpark-based ETL pipelines to process high-volume healthcare datasets for advanced analytics use cases. Engineered near real-time ingestion pipelines using Spark Streaming with Flink, Kafka, AWS Kinesis, and REST APIs to deliver low-latency processing.

Pyspark Scala Apache Spark Hadoop AWS Azure Docker Kubernetes Terraform Kafka DBT Snowflake SQL Pl SQL Tableau Power BI Airflow GitHub Jira Agile

Data Engineer

SiriusXM

Jan 2021 - Present (4 years 7 months)

Developed and implemented ETL workflows in AWS Glue to transfer data from external sources into AWS Redshift. Built real-time data processing systems with Apache Kafka and Apache Flink for low-latency applications, including fraud detection and IoT analytics.

Data Engineer

PepsiCo.

Feb 2020 - Present (5 years 6 months)

Created and maintained advanced SQL scripts, indexes, views, and complex queries to facilitate comprehensive data analysis and extraction. Designed ETL pipelines in Azure Data Factory to integrate sales and inventory data from multiple sources, ensuring data consistency and reducing manual reporting effort by 40%.