Overall 9 years of experience in Data Engineering, specializing in Big Data, Cloud Computing (GCP, Azure), and ETL pipelines. Proficient in Data Architecture, Data Warehousing (BigQuery, Azure Data Lake), and Data Migration. Skilled in Airflow, DataFlow, Cloud Composer, Apache Spark, PySpark, and Delta Lake. Expertise in real-time data processing, data integration, governance, security, and analytics using Python, SQL, SSIS, Oracle, and MS SQL. Advanced in Azure Data Factory, Azure DataBricks, and Power BI, ensuring scalable and efficient data solutions.Roles & Responsibilities :1. Interacting with DataLake architects and business to capture business requirements, and provide solutions using Azure/GCP tools.2. Converting business requirements into technical design, and determining the most optimal implementation technique from the available options.3. Design and development of Extraction, Transforming and Loading (ETL) process for facts and dimensions using Hive,spark,oozie and Azure tools( Databricks,streamAnalytics,ADF)Having experience in Data Engineering, Databricks, PySpark, Spark-SQL, Azure Data Factory (ADF), Python Scripting, Implementing Data warehousing applications using ETL tool, SQL, Oracle, ADLS, ABS, Linux Scripting etc.• Hands on experience on Databricks Workspace User Interface, Managing Databricks Notebooks, ADF activities, ADF data flows, Delta Lake with Python, Delta Lake with Spark SQL.• Knowledge in design of Extract, Transform and Load environment using Databricks, PySpark, Informatica Power Center 10.x, Azure Data Factory (ADF).• Good understanding of Spark Architecture with Databricks. Setting Up AWS and Microsoft Azure with Databricks, Databricks Workspace for Business Analytics, Manage Clusters in Databricks.• Hands on experience Data extraction (extract, Schemas, corrupt record handling and parallelized code), transformations and loads (user defined functions, join optimizations) and Production (optimize and automate Extract, Transform and Load).• Performing Support activities for Data Analytics, Azure, Data warehousing domain using ETL Tools and Technologies.