it analyst
Tata consultancy services
Total years of experience :6 years, 3 Months
Having rich exposure in Azure cloud. I design and automate data pipelines using Azure Data Factory, Azure Databricks, SparkSQL and Pyspark to extract, transform, and load data from various sources and formats.
Proficient in working with tool like Azure Data Factory, Azure Databrick, Azure Data lake gen 2, SQL & Pyspark, Azure key vault.
I also have a Microsoft certification in Azure Administrator Associate (AZ-104) & Azure Fundamentals (AZ-900). which demonstrates my proficiency in cloud computing and data services. I am passionate about data engineering and always eager to learn new skills and technologies to enhance my career.
As a part of 6 members team involved in developing and implementing data processing solutions on Azure cloud using Azure data factory, Azure databricks, SparkSQL and pyspark.
Designed and implemented data pipelines using Azure Data Factory and Azure Data bricks to extract, transform, and load data from various sources into Azure Synapse Analytics.
Developed and maintained SQL queries, stored procedures, and views to support data
warehousing and reporting needs.
Integrated big data processing pipelines with data warehousing systems, enabling seamless data flow and analysis.
Utilized Spark and Delta Lake to handle large- scale data processing tasks.
Conducted performance tuning of data processing solutions, reducing query execution time and
improving system stability.
Designed and implemented scalable data processing solutions on Azure, optimizing query performance and ensuring data consistency.
SQL Developer:
As a part of 10 member’s team involved in developing new and existing modules for
Improving the database performance and providing technical support and Backend
development for application used by IKEA Store users.
Managed end-to-end project in terms of requirement gathering, analysis, estimation, and
development of modules and providing solutions, highly proficient in coding and Involved in
Incident Management as the first point of contact to the Business users.
Involved in co-ordination between various Infrastructure personnel to ensure smooth
running of the applications. Analyzing the issues/errors in production environment and
reproducing the issue to find the root causes of the issues/errors faced by the user
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