Lead Azure Data Architect
Current• Involved in design of Data-Warehouse using data modeling techniques like Star-Schema and converted data from various sources to SQL Tables.• Create SQL Scripts, Notebooks for the data transformation in Azure Synapse Analytics.• Working with Serverless and Dedicated SQL servers, Creating Apache Spark pools and scaling of the nodes based on data.• Created health check pipelines for data maintenance.• Serve as Scrum Master and Lead daily stand-ups to work closely with Product Owners to develop, maintain project backlogs, and to ensure that the highest business value user stories are delivered to the customers.• Production Failure Handling.• Use Web activity to get response from REST API’s and use that response in making business decisions.• Involved in ETL development which includes creating the Integration Runtime’s, Linked Services, datasets and pipelines using Azure Cloud services to establish a connection with On-prem data sources.• Pull the data to Azure Data Lake Storage from On-Premises SQL Server, perform transformations on the Raw-Data using SCALA, Python Scripting & Spark SQL in Databricks and build deltalakehouse table to store the transformed data.• Creation of Databricks Notebooks, Load the data into dataframes and transform it using python Scripting.• Create Secret scopes for accessing the data, Cluster optimizations, Understand Databricks architecture to handle the driver and worker nodes, Scheduling the jobs to run them with the help of Job clusters.• Build the pipelines in ADF and Azure Synapse Analytics which automates the process of extraction of raw-data from on-premises source using various activities like copy, lookup, foreach, if, execute pipeline, notebook, stored proc activities.• Creating ADF triggers to schedule the pipelines to run at frequencies.• Deploy the code to different environments through dev-ops using CI/CD Pipelines.• Build Reports using Power BI.• Develop Logic-App’s to alert the end users about data load status.