I’m a Senior Data Engineer focused on building scalable, reliable, and modern data solutions. My expertise spans Microsoft Fabric, Azure Data Factory, Azure Databricks, Snowflake, Informatica IICS, SQL, Python, and PySpark. I work with technologies across the modern data engineering ecosystem, including Lakehouse architecture, Delta Lake, data warehousing, ETL/ELT, data migration, data quality, data governance, and enterprise analytics. I have hands-on experience designing data pipelines and integration frameworks for large-scale ERP migration and modernization projects, working with complex enterprise data across multiple systems and regions. My work involves taking data from source systems through ingestion, transformation, validation, and delivery into modern cloud data platforms. I'm especially passionate about Microsoft Fabric, Databricks, DBT, cloud data engineering, and modern data architecture. Through Tomate, I want to share my journey, simplify complex data engineering concepts, explore real-world projects and architectures, and grow alongside the community. My goal is simple: build, learn, experiment, and turn complex data engineering concepts into practical knowledge.