- Developed and orchestrated data workflows using Azure Data Factory (ADF) to automate data movement and transformation processes.- Implemented data storage solutions leveraging Snowflake for scalable and secure data warehousing.- Designed and developed scalable ETL pipelines using PySpark and Spark to process large volumes of healthcare data.- Utilized SQL for querying and managing relational databases to support data processing and analytics requirements.- Implemented data transformation and integration workflows to ingest data from various sources into the Azure Data Lake.

- Was part of MOAT analytics team to analyse and monitor Meta, Twitter, LinkedIn, Walmart, and Spotify AdTech data.- Contributed to building spark applications.- Developed Code Pipeline over the AWS and integrated with Slack using AWS Lambda Service.- Built data pipelines and transformation using ADF and Azure Databricks.- Built Azure and AWS infrastructure using Terraform, Ansible, Kubernetes, and Python.

- Utilized SQL for querying and managing relational databases to support data processing and analytics requirements.- Create and manage interactive and paginated reports using SQL Server Reporting Services (SSRS).- Was responsible to developed Azure services like VM, PowerBI, Azure Storage Accounts, ADLS, ADF etc. using Terraform.- Developed and maintained automation scripts using PowerShell to streamline data operations and administrative tasks.- Used Windows Task Scheduler to automate ETL workflows, backups, and other routine tasks.

- Contribute and create new automation framework with Selenium and CodedUI.- Create, Maintain, and Execute Automation Scripts.

- Contribute and create new automation framework with Selenium and CodedUI.- Create, Maintain, and Execute Automation Scripts.