✔ 10+ years of experience in Data Engineering, ETL/ELT development, Data Warehousing, and Big Data ecosystems, delivering scalable enterprise data solutions. ✔ Strong expertise in Azure Data Engineering stack, including Azure Databricks, Azure Data Factory, Azure Synapse Analytics, and ADLS. ✔ Extensive experience building modern data platforms using Snowflake, with deep knowledge of Snowpipe, Streams, Tasks, and performance tuning. ✔ Proven ability to design and implement end-to-end ETL/ELT pipelines using Python, PySpark, and advanced SQL for large-scale data processing. ✔ Hands-on experience with dbt (Data Build Tool) for modular data transformations, automated testing, and data lineage tracking. ✔ Expertise in implementing Medallion Architecture (Bronze/Silver/Gold) using Delta Lake, ensuring data quality and scalability. ✔ Strong background in Big Data technologies, including Hadoop (HDFS, Hive, HBase), Spark, Kafka, and distributed data processing frameworks. ✔ Experience designing and managing data lake and lakehouse architectures, integrating cloud storage with modern data warehouses. ✔ Proficient in multi-cloud environments (Azure, AWS, GCP), delivering highly available and scalable data solutions. ✔ Experience with real-time and batch data processing using Kafka, Event Hubs, Kinesis, and Pub/Sub. ✔ Skilled in data warehouse (DWH) design, including Star and Snowflake schemas for enterprise analytics and reporting. ✔ Strong expertise in SQL performance tuning, query optimization, and large-scale data transformations. ✔ Experience building and operationalizing AI/ML data pipelines and feature engineering frameworks. ✔ Exposure to Generative AI (Azure OpenAI, Vertex AI, LLM APIs) for intelligent data processing and automation.…✔ 10+ years of experience in Data Engineering, ETL/ELT development, Data Warehousing, and Big Data ecosystems, delivering scalable enterprise data solutions. ✔ Strong expertise in Azure Data Engineering stack, including Azure Databricks, Azure Data Factory, Azure Synapse Analytics, and ADLS. ✔ Extensive experience building modern data platforms using Snowflake, with deep knowledge of Snowpipe, Streams, Tasks, and performance tuning. ✔ Proven ability to design and implement end-to-end ETL/ELT pipelines using Python, PySpark, and advanced SQL for large-scale data processing. ✔ Hands-on experience with dbt (Data Build Tool) for modular data transformations, automated testing, and data lineage tracking. ✔ Expertise in implementing Medallion Architecture (Bronze/Silver/Gold) using Delta Lake, ensuring data quality and scalability. ✔ Strong background in Big Data technologies, including Hadoop (HDFS, Hive, HBase), Spark, Kafka, and distributed data processing frameworks. ✔ Experience designing and managing data lake and lakehouse architectures, integrating cloud storage with modern data warehouses. ✔ Proficient in multi-cloud environments (Azure, AWS, GCP), delivering highly available and scalable data solutions. ✔ Experience with real-time and batch data processing using Kafka, Event Hubs, Kinesis, and Pub/Sub. ✔ Skilled in data warehouse (DWH) design, including Star and Snowflake schemas for enterprise analytics and reporting. ✔ Strong expertise in SQL performance tuning, query optimization, and large-scale data transformations. ✔ Experience building and operationalizing AI/ML data pipelines and feature engineering frameworks. ✔ Exposure to Generative AI (Azure OpenAI, Vertex AI, LLM APIs) for intelligent data processing and automation.WWWW…