As a Big Data Engineer with over two years of experience, I am passionate about advancing my career in the dynamic field of data engineering. With a solid foundation in programming, database management, and cloud engineering, I have honed my skills in data modeling, ETL pipelines, and distributed computing frameworks like Hadoop and Spark. I am a quick learner with strong analytical and problem-solving abilities, committed to delivering high-quality work that aligns with business needs. With a growth mindset and a willingness to learn, I am excited to take on new challenges and contribute to the success of organizations that value innovation and data-driven decision-making.I specialize in designing, implementing, and optimizing data pipelines and analytical solutions. My expertise includes working with Apache Hadoop, Apache Spark, and Apache Kafka for data processing, as well as utilizing data warehousing solutions like Hive, Snowflake, and Amazon Redshift for scalable and high-performance analytics. Proficient in Scala, Python, and SQL, I manage both NoSQL databases such as HBase, MongoDB, Cassandra, Couchbase, and traditional databases like PostgreSQL, MySQL, and MariaDB.In addition to my big data skills, I have valuable experience in Azure Cloud Engineering. I have designed and implemented solutions on the Azure platform using tools like Azure Synapse, Azure Databricks, and Azure Data Lake Gen 2. My cloud computing expertise also includes leveraging AWS for deploying and managing big data solutions. I specialize in ETL processes and have a strong track record in database migrations, ensuring smooth transitions with minimal disruption to business operations.My collaborative approach has enabled me to work effectively with cross-functional teams to deliver high-impact business solutions. I am passionate about leveraging advanced technologies to solve complex business challenges and drive innovation. With a dedication to continuous learning, I am eager to take on new challenges and contribute to the success of organizations that value data-driven insights.Technologies and tools I work with include Azure Data Factory, Azure Synapse Analytics, SQL Data Warehouse Pools, Azure Databricks, Azure Data Flows, Azure Key Vault, Azure Data Lake Storage Gen2, Blob Storage, SQL, Scala, Python & PySpark, Azure SQL Server (PaaS & IaaS), Azure SQL Managed Instance, MySQL, MariaDB, PostgreSQL, SQL Data Warehouse, ClickhouseDB, Cassandra, MongoDB, AWS Redshift, AWS S3, AWS Athena, AWS Glue, and Power BI.Reach me at mohammedAmmar7406@gmail.com