Databricks Developer by Pradip BhandariDatabricks Developer by Pradip Bhandari
Databricks DeveloperPradip Bhandari
Cover image for Databricks Developer
I offer end-to-end data engineering solutions, leveraging Databricks, Apache Spark, and cloud services to process, transform, and analyze data efficiently. Our unique expertise lies in implementing scalable, cost-effective architectures like the Medallion Architecture (Bronze, Silver, Gold layers) that ensure data quality, traceability, and analytics readiness, customized to handle any volume, variety, or velocity of data. This tailored approach helps businesses unlock actionable insights quickly and reliably.

What's included

Optimized Data Pipelines
End-to-end data ingestion, transformation, and loading pipelines using Apache Spark and Databricks. Scalable pipelines for both batch and streaming data to handle diverse data sources.
Medallion Architecture Implementation
A modular architecture with Bronze (raw), Silver (cleaned), and Gold (aggregated) layers for data processing. Designed for traceability, data quality, and analytics-readiness.
Delta Lake Integration
Implementation of Delta Lake for data versioning, ACID transactions, and efficient handling of big data in Databricks.
Real-Time and Batch Processing
Real-time data pipelines with tools like Databricks Autoloader and structured streaming. Batch pipelines for historical or large-volume data
Cost-Optimized Solutions
Cost-efficient Spark and Databricks jobs with fine-tuned cluster configurations and resource allocation. Can make use of shared cluster, job cluster, serverless compute, spot instances. Databricks suggested approaches.
Data Governance and Quality Frameworks
Implementation of data validation checks, monitoring, and alerting for pipeline failures. Enforcing security, access controls, and compliance with client-specific regulations.
Pradip's other services
Starting at$45 /hr
Tags
AWS
Azure
Data Engineer
Data Scientist
Software Architect
Service provided by
Pradip Bhandari Kathmandu 44600, Nepal
Databricks DeveloperPradip Bhandari
Starting at$45 /hr
Tags
AWS
Azure
Data Engineer
Data Scientist
Software Architect
Cover image for Databricks Developer
I offer end-to-end data engineering solutions, leveraging Databricks, Apache Spark, and cloud services to process, transform, and analyze data efficiently. Our unique expertise lies in implementing scalable, cost-effective architectures like the Medallion Architecture (Bronze, Silver, Gold layers) that ensure data quality, traceability, and analytics readiness, customized to handle any volume, variety, or velocity of data. This tailored approach helps businesses unlock actionable insights quickly and reliably.

What's included

Optimized Data Pipelines
End-to-end data ingestion, transformation, and loading pipelines using Apache Spark and Databricks. Scalable pipelines for both batch and streaming data to handle diverse data sources.
Medallion Architecture Implementation
A modular architecture with Bronze (raw), Silver (cleaned), and Gold (aggregated) layers for data processing. Designed for traceability, data quality, and analytics-readiness.
Delta Lake Integration
Implementation of Delta Lake for data versioning, ACID transactions, and efficient handling of big data in Databricks.
Real-Time and Batch Processing
Real-time data pipelines with tools like Databricks Autoloader and structured streaming. Batch pipelines for historical or large-volume data
Cost-Optimized Solutions
Cost-efficient Spark and Databricks jobs with fine-tuned cluster configurations and resource allocation. Can make use of shared cluster, job cluster, serverless compute, spot instances. Databricks suggested approaches.
Data Governance and Quality Frameworks
Implementation of data validation checks, monitoring, and alerting for pipeline failures. Enforcing security, access controls, and compliance with client-specific regulations.
Pradip's other services
$45 /hr