Open to opportunities

Sandesh Phuyal

@sandeshphuyal

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Experienced Data Engineer with expertise in big data and cloud technologies.

United States

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What I'm looking for

I am looking for a role that challenges me technically and offers opportunities for growth in data engineering and analytics.

I am a seasoned Data Engineer with over 7 years of hands-on experience in building and optimizing data systems, specializing in big data and cloud technologies. My proficiency in leveraging platforms like Google Cloud Platform (GCP), AWS, and Azure has enabled me to develop efficient, high-performance data architectures and pipelines. I excel in designing and executing complex ETL pipelines using Apache Airflow, which enhances data transformation and integration processes.

Throughout my career, I have demonstrated a strong ability to deploy machine learning models into production, utilizing data to drive decision-making and business insights. My technical skills include advanced programming in Python, Java, SQL, and Scala, along with extensive experience in managing both SQL and NoSQL databases. I am committed to ongoing professional development and actively participate in professional organizations like ACM and IEEE to stay current with industry trends.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Pfizer Inc.

Dec 2022 - Present (2 years 5 months)

Led the design and implementation of a multi-terabyte data warehouse on AWS Redshift, improving query performance. Implemented real-time data processing systems using Apache Kafka and Spark, and collaborated with analysts to support machine learning algorithms. Enhanced data security protocols and automated infrastructure provisioning.

AWS RedShift Apache Kafka Apache Spark Terraform Google BigQuery Python SQL Data Warehousing Data Governance Machine Learning

Data Engineer

ServiceNow

Mar 2020 - Jul 2022 (2 years 4 months)

Designed data integration solutions using ETL tools like Informatica and AWS Glue. Managed data storage and processing with AWS services, optimized Hadoop and Spark environments, and developed API integrations for real-time data ingestion. Created dashboards using BI tools for actionable insights.

ETL AWS Glue Hadoop Spark API Integration Tableau Python SQL Data Pipelines

Data Engineer

Chewy Inc.

Jan 2017 - Feb 2020 (3 years 1 month)

Architected a centralized data lake on AWS, integrating data from over 20 source systems. Led the adoption of microservices architecture and developed data transformation frameworks using PySpark. Established data quality checks and provided technical leadership in database design.