DEEPAK PATEL SUPPA

• Develop and manage end-to-end ETL pipelines in Azure Data Factory to automate data ingestion, transformation, and loading into Azure SQL Databases.
• Build scalable batch and streaming data transformations using Azure Databricks and PySpark.
• Use Azure Logic Apps to automate scheduled tasks, notifications, and system integrations.
• Perform database development, optimization, and troubleshooting in SSMS to maintain data accuracy and performance.
• Design and implement storage solutions in Azure Blob Storage for raw and processed data.
• Diagnose and resolve issues related to pipeline failures, delays, and performance bottlenecks.
• Work with business and analytics teams to define data models and deliver validated datasets on time.
• Implement data validation, error handling, and alerting to ensure high data quality and reliability.
• Integrate external REST APIs into pipelines for real-time data enrichment when required.
• Ensure compliance with data governance, security, and privacy standards across Azure solutions.
• Collaborate with team members through regular meetings to ensure timely completion of tasks.

Technologies: Azure Data Factory, Azure Databricks, PySpark, Delta Lake, Azure SQL Database, Azure Blob Storage, SSMS, Azure Logic Apps, REST APIs, Git, Azure DevOps

• Developed backend components and REST APIs using Java and Python for secure, scalable cloud applications.
• Assisted in building and maintaining ETL workflows to load data into Azure SQL Database and Blob Storage.
• Integrated MySQL with application front ends to support smooth data access for users.
• Contributed to designing cloud solutions using Microsoft Azure with a focus on data storage, retrieval, and performance.
• Wrote and optimized SQL queries and stored procedures for application and reporting needs.
• Worked with cross-functional teams to deliver scalable and maintainable application modules.
• Followed best practices including version control, code reviews, and unit testing.
• Supported deployment and troubleshooting of applications across development, staging, and production Azure environments.

Technologies: Java, Python, Azure SQL Database, Azure Blob Storage, Azure Data Factory, MySQL, REST APIs, SQL Server, Git, Azure DevOps

• Developed and maintained software applications using Agile methodologies.