Senior Data Engineer at AmadeusInnovative Solutions: Deliver impactful solutions for complex Big Data challenges using Hadoop ecosystem technologies (Spark, HDFS, Hive, Sqoop), cloud services (AWS, Azure) and scheduler tools(Control-M, Tivoli TWS scheduler).Stakeholder Collaboration: Collaborate effectively with stakeholders to understand business processes and rules, designing and developing cutting-edge data pipelines, transformations, and analytics.Extensive Experience: Nearly 7 years in the IT industry, specializing in data engineering activities and automation testing.Data Proficiency: Skilled in processing diverse data types (structured, semi-structured, unstructured) using Spark.Certifications: Completed multiple certifications in Big Data Integration and Processing, and Introduction to Git and GitHub.Goal-Oriented: Aim to create value and insights from data, enabling informed decision-making.

As a Senior Data Engineer at Amadeus, I deliver innovative and impactful solutions for complex Big Data challenges, leveraging Hadoop ecosystem technologies such as Spark, HDFS, Hive, Sqoop, and AWS, Azure cloud services. I collaborate effectively with stakeholders to understand their business processes and rules, and design and develop cutting-edge data pipelines, transformations, and analytics.I have nearly 6 years of experience in the IT industry, specializing in dealing with data engineer and automation testing. I am proficient in processing diverse data types, such as structured, semi-structured, and unstructured data, using the power of Spark. I have also completed multiple certifications in Big Data Integration and Processing, and Introduction to Git and GitHub, to enhance my skills and knowledge. My goal is to create value and insights from data, and enable informed decision-making.