8 years of work experience in to IT in which 4 years in to Azure Data Engineering , in diverse business & technical environments, with demonstrated leadership abilities
Data Modeling
Creating robust ETL pipelines in ADF to load data from different sources like sql ,sap , rest API, Salesforce and loading it to data lake
Transforming data as per business needs in data bricks using pyspark
Creating structured data format in synapse also using external tables in Azure synapse
Need to deploy code to UAT and prod by using Azure devops CI/CD
Using HD insights, Kafka and Azure Stream Analytics, logic apps ,function apps also
<p>Involved in Requirement gathering and identifying the data model requirements and creation of database by designing schema and tables<br>
Using Azure Data Factory for ETL process to migrated the data from on premise to Azure cloud<br>
Transforming data as per business requirement using Python<br>
Created Notebooks in Azure Databricks and running it using Azure Data Factory pipeline<br>
Deployed changes from dev environment to upper environment using Azure DevOps<br>
CI/CD pipelines<br>
By using Visual Studio comparing the databases and keeping in sync across environments<br>
Implemented change data capture for Audit Tables<br>
Created indexes on various tables for better performance and regularly checked databases<br>
Performance recommendations in Azure portal and created indexes<br>
Understand the business model and created data solutions using Azure environment<br>
Coordinated with other teams for testing and deployment practices<br>
Involved in Scrum call, Project planning, review and Retrospective meetings<br>
Updating dashboard to monitor the productivity and burn down chart in Azure Boards</p>
<p>Assure that data is cleansed, mapped, transformed, and otherwise optimized for storage and use according to business and technical requirements<br>
Develop and maintain innovative Azure solutions<br>
Solution design using Microsoft Azure services and other tools<br>
The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)<br>
Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications<br>
Build data pipelines to collectively bring together data<br>
Extracting data, troubleshooting and maintaining the data warehouse</p>
The AI-first Recruitment Operating System that unifies and automates the entire hiring lifecycle for modern enterprises worldwide.
Dr Job FZ LLC. 2026 © All Rights Reserved
