Prashant · Lead Azure Data Engineer · 10+ yrs
PrincipalAbout Prashant
Prashant is an accomplished Lead Azure Data Engineer with over a decade of experience in the data engineering domain. He specializes in leveraging Azure technologies to design, implement, and optimize data solutions that drive business value. His expertise spans across data modeling, ETL pipelines, and cloud-native architectures, making him a valuable asset for organizations looking to enhance their data capabilities. Prashant is adept at leading teams and collaborating with stakeholders to deliver scalable and secure data solutions.
Core expertise
Additional skills(10)
DatabricksWhy hire Prashant?
Spearheaded the implementation of a multi-cloud Databricks Lakehouse Platform, resulting in a 40% reduction in data processing time.
Led a team of 15 data engineers in developing advanced machine learning models, improving customer churn prediction by 35%.
Architected a real-time data streaming solution for 10,000+ IoT devices, reducing operational costs by $2M annually.
Implemented a comprehensive data quality framework that improved data reliability by 85% and accelerated decision-making processes by 30%.
Designed and implemented ETL pipelines processing over 10TB of daily data, reducing ingestion latency by 50%.
Generated $5M in additional revenue through improved machine learning models.
Achieved a 60% reduction in infrastructure costs by migrating legacy data warehouses.
Reduced audit preparation time by 70% with centralized data governance.
Project highlights(5)
Master Data Pipeline – Lead Azure Data Engineer
Overview: Spearheaded the implementation of a multi-cloud Databricks Lakehouse Platform integrated with Azure Synapse Analytics. Responsibilities: Led a team of data engineers in developing machine learning models, architected real-time data streaming solutions, and orchestrated the migration of legacy data warehouses to a modern data environment.
Key outcomes:
40% reduction in data processing time
35% improvement in customer churn prediction
$2M annual reduction in operational costs
Business Intelligence Reports for Hilton and Mc-Cain Foods – Senior Data Engineer
Overview: Developed Business Intelligence reports for procurement, sales, and asset management. Responsibilities: Enhanced data accessibility and decision-making processes using Azure Synapse and Power BI, and led the integration of multiple source systems into a harmonized dataset.
Key outcomes:
Improved data accessibility for stakeholders
Streamlined invoice processing workflows
ETL Solutions for FMT and Lighthouse – Data Engineer
Overview: Created ETL solutions using SQL Server Integration Services and Azure Data Factory. Responsibilities: Optimized data movement and transformation, and developed data marts and warehouse solutions.
Key outcomes:
Enhanced BI and reporting efficiency
Improved database performance
Vantiv Projects – Data Engineer
- ETL solutions using SSIS for financial data processing.
- Developed ETL solutions using SQL Server Integration Services.
- Fixed invalid mappings and troubleshot technical database issues.
- Used debugger tools to identify bugs in existing mappings.
- Worked in Onsite-Offshore work model collaborating with global teams.
Key outcomes:
Live SSIS-based financial-data ETL with mapping fixes and global-team coordination.
British Telecom – Data Engineer
- ETL processes and data integration for a large-scale telecom data warehouse.
- Worked on ETL processes and data integration for telecom warehouse.
- Optimised database performance and implemented data-quality measures.
Key outcomes:
Optimised telecom data-warehouse performance with structured data-quality measures.
10+ years of industry experience
- •Master Data Pipeline— Lead Azure Data EngineerAzure · PySpark · Azure Synapse · Databricks
At a Glance
Single contract. Billed in USD.
Typically responds within 4 business hours.
Top Skills
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Prashant
Lead Azure Data Engineer