InfoTech
/ Engineering Services [ USA ]
12 Months
Senior Databricks Consultant – SQL Expert
CLIENT:
A US-headquartered global leader in industrial equipment, designed to enhance safety, security, productivity, energy efficiency, and environmental control
CONSULTANT:
Expert 1 : Abhilash holds a Bachelor’s in Information Technology and brings over 15 years of experience in data engineering and analytics. He has 4+ years of hands-on Databricks experience, specializing in Spark SQL, Delta Lake, Azure Data Factory, and Azure Synapse. He has worked at companies like Cognizant, Capgemini, and Infosys, delivering solutions for clients in banking, retail, and supply chain domains. His expertise includes end-to-end pipeline development, CI/CD integration, and performance optimization within Azure cloud environments.
Expert 2: Randhir holds a Bachelor of Technology in Computer Science and has 14+ years of experience in data warehousing and data engineering. He brings about 4 years of experience in Databricks, with skills in Spark SQL, Delta Lake, Azure Synapse, Data Factory, and Power BI. He has worked at firms like Tech Mahindra, Larsen & Toubro Infotech, and Accenture, primarily across banking, telecom, and insurance sectors. His responsibilities include pipeline development, data transformation, and dashboard reporting in Azure-based environments.
Expert 2: Randhir holds a Bachelor of Technology in Computer Science and has 14+ years of experience in data warehousing and data engineering. He brings about 4 years of experience in Databricks, with skills in Spark SQL, Delta Lake, Azure Synapse, Data Factory, and Power BI. He has worked at firms like Tech Mahindra, Larsen & Toubro Infotech, and Accenture, primarily across banking, telecom, and insurance sectors. His responsibilities include pipeline development, data transformation, and dashboard reporting in Azure-based environments.
ASSIGNMENT:
- Leverage Databricks for end-to-end data processing, transformation, and analytics workflows.
- Design and implement efficient SQL queries for data extraction, transformation, and analysis.
- Collaborate with data engineers, analysts, and business stakeholders to deliver scalable data solutions.
- Optimize performance and manage data pipelines in a cloud environment.
- Ensure high data quality and compliance with best practices in data engineering.
- Design and implement efficient SQL queries for data extraction, transformation, and analysis.
- Collaborate with data engineers, analysts, and business stakeholders to deliver scalable data solutions.
- Optimize performance and manage data pipelines in a cloud environment.
- Ensure high data quality and compliance with best practices in data engineering.