Aadil Mohammed

About Aadil Mohammed

I have 10+ years of experience creating, deploying, and maintaining cloud-based data platforms and solutions, making me a highly skilled Azure Data Engineer. I was able to design and execute a scalable data pipeline to transfer massive volumes of data from numerous sources to Azure Data Lake Storage because of my expertise with Microsoft Azure.As a results-driven individual, I excel at working to gather requirements and design data solutions that meet the unique needs of each business. My skill set includes Strong knowledge of Microsoft Azure services, including Azure cloud services like Azure Data Lake Storage, Azure Data Factory, Azure Analytical Services, Azure Blob Storage, Azure Analysis Services, and Azure Synapse.Big Data technologies like Map Reduce, HDFS, Hive, Sqoop, Oozie, HBase, Pig, Spark, Scala, Kafka, and ETL(DataStage).I am committed to staying current with the latest trends and best practices in the data engineering field and have a proven ability to evaluate new technologies and provide recommendations for adoption. I am a team player and am always willing to lend my expertise to junior data engineers and collaborate with DevOps teams to ensure seamless deployment and management of data pipelines.If you\'re looking for a dedicated and experienced Azure Data Engineer, I would be honored to bring my Key Strength to your organization.

Experience

1. Azure Data Engineer

   Premera Blue Cross

   Jul 2023 — Present · Mountlake Terrace, WA, US

   Involved in gathering requirements, system analysis, design, development, testing and deployment.Design & implement migration strategies with Azure suite: Azure SQL Database, Azure Data Factory (ADF) V2, Azure key Vault, Azure Blob Storage.Created end to end Data pipelines using ADF services to load data from On-prem to Azure SQL server for Data orchestration.Build scalable and reliable ETL pipelines to pull large and complex data from different systems efficiently.Worked on building the data pipeline using Azure Service like Data Factory to load the data from Legacy, SQL server to Azure Data warehouse using Data Factories and Databricks Notebooks.Created Pipeline’s to extract data from on premises source systems to azure cloud data lake storage.Extensively worked on copy activities and implemented the copy behavior’s such as flatten hierarchy,preserve hierarchy and Merge hierarchy.Implemented Error Handling concept through copy activity.Exposure on Azure Data Factory activities such as Lookups, Stored procedures, if condition, for each, SetVariable, Append Variable, Get Metadata, Filter and wait.Configured the logic apps to handle email notification to the end users and key shareholders with the help of web services activity.Create and maintain optimal data pipeline architecture in cloud Microsoft Azure using Data Factory andAzure Databricks.Exposed transformed data in Azure Spark Databricks platform to parquet formats for efficient data storage.Analyzed data where it lives by Mounting Azure Data Lake and Blob to Databricks.Extensively worked on Azure Data Lake Analytics with the help of Azure Data bricks to implement SCD-1,SCD-2 approaches.Created and configured a new event hub with the provided event hubs namespace.Writing PySpark and spark SQL transformation in Azure Databricks for business rule implementationInvolved in tuning spark Jobs and worked on spark Query Optimization.

Education

• JNTUH College of Engineering Hyderabad

  Bachelor of Technology - BTech, Computer Science