As a seasoned Data Engineer, I specialize in designing and implementing robust, scalable end-to-end data pipelines tailored to meet diverse business needs. My expertise encompasses SQL, Python, PySpark, SparkSQL, and various technologies including Apache Spark, Apache Airflow, and the Azure suite (Databricks, DevOps, Data Factory, Data Lake, Logic Apps, Synapse, and Fabric).Throughout my career, I have led initiatives that reduced data retrieval times by 10%, improved data processing speeds by 15%, and enhanced data accuracy by 20%. My hands-on experience in managing large datasets, maintaining PySpark scripts, and streamlining workflows has allowed me to deliver high-performance solutions that drive operational efficiency. Additionally, I have implemented Medallion architecture in Delta Lake on ADLS Gen2, optimizing data analysis and scalability, while also ensuring seamless deployment processes using Azure DevOps and Git.Certifications:- Databricks Certified Data Engineer Associate- DP-203: Microsoft Certified: Azure Data Engineer Associate- DP-600: Microsoft Certified: Fabric Analytics Engineer Associate- DP-900: Microsoft Certified: Azure Data Fundamentals