I’m an Azure and Databricks Certified Data Engineer with 3+ years of experience designing and optimizing end-to-end data pipelines for large-scale processing using both cloud-native and open-source big data technologies. Skilled in tools like Databricks, Apache Spark, Kafka, Hive, Hadoop, and cloud platforms such as Azure (Data Factory, Databricks, Synapse) and AWS (Glue, Athena, EMR, Lambda, S3), I build scalable, secure, and performance-tuned data solutions. My expertise includes: • Designing cloud data architectures (batch and streaming) • Implementing ETL/ELT pipelines with SQL, Python, and PySpark • Working with Delta Lake, SCD Type 1/2, and Medallion Architecture • Migrating legacy platforms to modern cloud data stacks • Automating workflows with CI/CD and version control best practices Currently open to data engineering opportunities in product-driven, cloud-first environments where I can solve real-world data challenges at scale.