With over 9 years of extensive experience in Data Engineering, I specialize in developing scalable data infrastructures and optimizing complex data ecosystems. My proficiency spans broad range of technologies and practices, ensuring efficient data storage, management, and analytics across diverse environments. I have a strong track record in managing server environments using Tomcat and Apache, significantly enhancing system reliability and performance. My expertise in AWS Cloud Services, including S3, Redshift, RDS, CloudFormation, and Glue, allows me to deliver robust and scalable cloud-based solutions.In my previous roles, I have developed and maintained robust ETL pipelines using Jenkins, Maven, and AWS Data Pipelines, streamlining data flows across various systems. I am skilled in DevOps practices, integrating tools like Jenkins, Chef, and Artifactory to automate deployment processes and improve CI/CD workflows. My proficiency extends to Google Cloud Platform (GCP) technologies, where I have optimized data processing and analytics using Dataflow, Dataproc, Cloud Pub/Sub, and BigQuery. Additionally, I possess strong database management capabilities with experience in SQL Server, Oracle, MySQL, and PostgreSQL, ensuring data integrity and accessibility.My experience with Azure cloud solutions includes managing Azure SQL, Azure Function Apps, and implementing security with Azure Active Directory. Furthermore, I have hands-on experience with front-end technologies such as jQuery and Power BI, enhancing data visualization and user interface designs.I enhance system configurations and data processing tasks, My expertise in software testing and quality assurance, employing tools like SQL Profiler and Tidal, ensures optimal software performance and reliability.