Open to opportunities

Sandesh Poudel

@sandeshpoudel2

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Experienced Data Engineer with expertise in cloud-based data solutions.

United States

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What I'm looking for

I seek a role that fosters innovation and collaboration, with opportunities for growth.

I am a seasoned Data Engineer with over 7 years of experience in designing and optimizing large-scale ETL/ELT pipelines and real-time data processing systems. My expertise spans across cloud platforms like Azure and AWS, particularly in the healthcare and banking domains. I have successfully built and orchestrated data pipelines that enable seamless data movement and transformation, significantly improving query performance and reducing reporting latency.

Throughout my career, I have implemented advanced architectures such as the Medallion architecture in Azure Data Lake, ensuring data reliability and scalability for analytics and machine learning. My technical proficiency includes Apache Spark, Kafka, and Databricks, which I have utilized to process petabyte-scale structured and semi-structured data. I am passionate about leveraging AI and ML techniques to develop predictive models that drive business insights and enhance operational efficiency.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Highmark Health

May 2022 - Present (3 years 3 months)

Designed and implemented a healthcare Lakehouse on Azure Data Lake Storage Gen2 with Delta Lake and Synapse SQL Pools, enabling on-demand analytics across patients, claims, and provider data. Developed dynamic Azure Data Factory pipelines to automate ingestion and transformation of eligibility, encounter, and medical coding datasets from internal and third-party sources.

Delta Lake Azure Data Factory Pyspark Power BI Terraform

Data Engineer

BOK Financial

Jun 2019 - Mar 2022 (2 years 9 months)

Built and optimized scalable ETL pipelines using PySpark, Scala, and Spark SQL to process structured and semi-structured financial data across Hadoop and cloud environments. Implemented Medallion architecture on Azure Data Lake, standardizing data transformation layers for audit-ready reporting and downstream analytics.

Pyspark Scala Data Lake AWS Glue Apache Airflow Docker Kubernetes Terraform Power BI

Big Data Developer

Centene Corporation

Sep 2017 - Apr 2019 (1 year 7 months)

Created advanced SQL scripts, views, and performance-tuned queries to extract and analyze healthcare claims and member data from multiple relational databases. Built and maintained Power BI dashboards and reports using Power Query, DAX, and scheduled refreshes from SQL Server, Oracle, and Azure SQL sources.

SQL Power BI Azure Data Factory TensorFlow Keras Apache Spark Kafka Hadoop AWS Glue AWS Lambda Git Agile Methodology

Education

Degrees, certifications, and relevant coursework

Wright State University

Master's, Data Analytics and Insights

Completed a Master's degree focusing on Data Analytics and Insights. The curriculum likely covered advanced statistical analysis, data visualization, and data-driven decision-making.