I am a Data Engineer passionate about transforming complex data into actionable insights. My foundation in data engineering and hands-on experience with scalable data solutions enable me to deliver robust ETL processes and enhance business intelligence (BI). With expertise in Python, SQL, and cloud platforms like Azure, I excel in creating efficient data pipelines and storage systems.Key Achievements:Designed and implemented data models and pipelines that significantly boosted data quality and operational efficiency.Managed and optimized large-scale distributed databases (MySQL, PostgreSQL, MongoDB) and big data frameworks (Hadoop, Spark, Kafka) for high performance and scalability.Automated data pipeline processes with Apache Airflow and Jenkins, streamlining workflows and increasing productivity.Leveraged Azure services (Azure Data Factory, Azure Databricks, Azure Synapse, Azure Blob Storage) to enhance data storage, processing, and analytics.Strong coding skills in Python, Java, Scala, and Shell Scripting, with effective use of Git and Jira for version control and documentation.I am committed to sharing knowledge and making a positive impact in the data engineering community. Experience & Skills:SQL,PythonPySparkAzure Data Factory, Blob Storage, Synapse, DatabricksETL ProcessesData ModelingCloud Computing