Bijay Devkota Email & Phone Number

Bowie, Maryland, United States

• Developed robust data solutions encompassing data ingestion, transformation, validation, and exploration using Databricks and Delta Live Tables for ETL processes.
• Designed and managed data pipelines in Azure Synapse, supporting complex data operations and ensuring seamless data flow across diverse sources.
• Processed healthcare data efficiently, employing both incremental and full data loading techniques to support accurate, up-to-date data availability.
• Installed and maintained Azure Databricks clusters, optimizing big data processing and analytics capabilities while configuring clusters for tailored performance.
• Configured and managed cloud-native Databricks clusters for high scalability and efficient big data management.
• Contributed to cloud-native implementations with Kubernetes, enhancing Azure cloud architecture for scalability and optimized performance.

San Francisco Bay Area

• Implemented financial scoring and forecasting models utilizing Python, R, and SAS, focusing on optimizing collection priorities.
• Played a pivotal role in the setup and configuration of Kubernetes clusters for efficient container orchestration and microservices deployment.
• Involved in the installation and maintenance of Databricks clusters, enhancing big data processing and data analysis capabilities.
• Managed Cloud Architect Clusters using cloud-native technologies to improve scalability and performance.
• Contributed to the implementation and management of Cloud Native solutions like Kubernetes, supporting advanced cloud architectures.
• Specialized in cloud-based data architecture and data warehousing, with extensive knowledge of Azure services and Kubernetes orchestration.

Chicago, Illinois, United States

• Pioneering the implementation of Azure services, including Data Factory, Databricks, and Synapse Analytics, to augment our data processing and storage capabilities.
• Proficiently used analytical programming languages such as R, Python, MATLAB, SAS for model development.
• Deployed machine learning models into web applications using Django, Flask, and Plumber.
• Developed Convolutional Neural Networks (CNNs) for multiclass text classification problems using Keras/TensorFlow.
• Conducted customer segmentation based on demographics using K-means Clustering.
• Prototyped and experimented with ML/DL algorithms and integrated them into production systems to meet various business needs.

San Francisco, California, United States

• Pioneered the development of data warehousing solutions, leveraging AWS technologies for both Relational and NoSQL databases.
• Designed and built robust data pipelines for seamless ETL and ELT processes, ensuring efficient batch and streaming data ingestion using AWS features.
• Demonstrated expertise in SQL and SQL-based languages, optimizing query performance to enhance data retrieval efficiency.
• Applied disciplined data warehousing techniques, including normalized and dimensional models, ensuring data integrity and usability on AWS.
• Led projects to integrate, consolidate, enrich, and aggregate petabyte-scale datasets, meeting business requirements with AWS cloud-based data warehouses like Snowflake, Big-Query, Synapse, and RedShift.
• Applied AWS message queuing and stream processing technologies, including Kafka and Spark Streams, for real-time data processing.

Sacramento, California, United States

• Designed/executed Java test scripts for web/mobile apps using Selenium WebDriver, TestNG.
• Analyzed element locators, web driver methods; developed UI automation scripts.
• Conducted backend testing using SQL for data validation, migration, conversion.
• Performed data analysis, profiling with SQL on Oracle, Teradata systems.
• Validated electronic payment systems, experienced with gateways, transaction processing.
• Executed security testing in AWS, ensuring customer data protection.

Master'S Degree

Bachelor'S Degree