Akshay Karma · Senior Snowflake Data Engineer · 5+ yrs
Mid-LevelAbout Akshay
Akshay is a seasoned Data Engineer specializing in cloud-based data platforms and enterprise data pipelines. With a robust background in Azure and Snowflake, he excels in data modeling and integration, ensuring that organizations can leverage their data for strategic insights. His hands-on experience with modern data architectures and DevOps practices positions him as a valuable asset for any data-driven team.
Core expertise
Additional skills(13)
Python
Git
Azure DevOps
Databricks
Apache KafkaWhy hire Akshay?
Designed and implemented enterprise data warehouse schemas in Snowflake
Developed high-throughput ETL pipelines to ingest structured and semi-structured data
Implemented CI/CD-enabled deployment pipelines using Git and Azure DevOps
Deep Kimball + Data Vault modelling
DBT + Azure Data Lake transformation depth
Multi-source enterprise integration (SAP, Salesforce, Dynamics 365)
Project highlights(3)
Cloud Data Warehouse & Analytics Platforms – Data Engineer
Overview: Designed and implemented a scalable enterprise cloud data warehouse platform to integrate operational data from multiple enterprise systems and deliver analytics-ready datasets for reporting and decision-making across business domains such as sales, finance, and operations. Responsibilities: Developed scalable data ingestion pipelines using Azure Data Factory, Azure Functions, and Azure API Management to process structured and semi-structured data from APIs and enterprise systems. Built ELT pipelines integrating Azure Data Lake Storage with Snowflake, enabling centralized data storage and analytics-ready datasets.
Key outcomes:
Optimized warehouse performance through query tuning and data partitioning
Enabled business-ready data models supporting analytics use cases across domains
Data Integration & Transformation Pipelines – Data Engineer
Overview: Designed and implemented enterprise-scale data integration pipelines to consolidate operational data from multiple enterprise platforms into a unified analytics platform supporting enterprise reporting and strategic decision-making. Responsibilities: Developed high-throughput ETL pipelines to ingest structured and semi-structured data from enterprise systems such as SAP, Salesforce, and Microsoft Dynamics 365 into Azure Data Lake.
Key outcomes:
Improved platform performance and cost efficiency through data partitioning and storage optimization
Real-Time Streaming & Edge-to-Cloud Data Pipelines – Data Engineer
Overview: Engineered hybrid batch and real-time data pipelines to ingest and process high-volume operational event streams, enabling near real-time analytics and monitoring across enterprise systems. Responsibilities: Developed event-driven ingestion pipelines enabling near real-time data availability for enterprise analytics and operational monitoring.
Key outcomes:
Implemented data quality validation frameworks and consistency checks across ingestion and transformation layers
5+ years of industry experience
- •Cloud Data Warehouse & Analytics Platforms— Data EngineerSnowflake · DBT · Azure Data Lake Storage · Azure Data Factory +6
- •Cloud Data Warehouse & Analytics Platforms— Data EngineerSnowflake · DBT · Azure Data Lake Storage · Azure Data Factory +6
- •Data Integration & Transformation Pipelines— Data EngineerAzure Data Factory · Azure Data Lake Storage · SQL · Python +3
At a Glance
Single contract. Billed in USD.
Typically responds within 4 business hours.
Top Skills
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Akshay Karma
Data Engineer