Prashant · Lead Azure Data Engineer · 10+ yrs
PrincipalProof of scale
About Prashant
Prashant is a Lead Azure Data Engineer with 10+ years of experience in designing and implementing data solutions using Azure technologies. He has a strong background in data modeling and ETL pipelines, leading teams to deliver high-performance data solutions.
10+ years of commercial experience in
Skills(10)
Why 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.
Industry experience
EdTech
1 project- •Master Data Pipeline— Lead Azure Data EngineerAzure · PySpark · Azure Synapse · Databricks
At a Glance
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Typically responds within 4 business hours.
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Prashant
Lead Azure Data Engineer