Isha Parmar

Isha Parmar

I am a Professional Pho

Skills

Data Engineer
0 %
Software Development
0 %
Data Analyst
0 %
DevOps Engineer
0 %

Resume

Uxspecifics Ltd

Data Engineer/Analyst ( 2020- Current)

Design and execution of advanced data solutions, leveraging Azure Data Factory, Databricks, and Power BI. Building and maintaining efficient data pipelines for streamlined extraction, transformation, and loading (ETL) processes. Additionally, the creation of interactive dashboards and reports in Power BI is pivotal, as it translates complex data findings into actionable visual representations for business stakeholders.

BBC

DevOps Engineer ( 2020 - 2021)

Deploying both custom-developed and commercial off-the-shelf (COTS) applications using AWS services. Key responsibilities include orchestrating and managing continuous integration and continuous delivery (CI/CD) pipelines to streamline deployments and updates, ensuring high availability and minimal downtime. The role also focuses on automating infrastructure provisioning and configuration using AWS CloudFormation and Jenkins

Sky

DevOps Engineer ( 2019 - 2020)

Automating the provisioning, configuration, and management of resources using tools such as AWS CloudFormation for cloud environments and VMware Automation for on-premises infrastructure.

Bodoni Systems

Software Developer ( 2016 - 2018)

Automating the provisioning, configuration, and management of resources using tools such as AWS CloudFormation for cloud environments and VMware Automation for on-premises infrastructure.

Stanmore Implants

Software Developer ( 2011 - 2013)

Automating the provisioning, configuration, and management of resources using tools such as AWS CloudFormation for cloud environments and VMware Automation for on-premises infrastructure.

Honeywell Technologies

2006 - 2010

Automating the provisioning, configuration, and management of resources using tools such as AWS CloudFormation for cloud environments and VMware Automation for on-premises infrastructure.

Power BI Project

Technologies Used

RAG with AWS Bedrock

Technologies Used

Clients

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