🔹 About Me: I’m a passionate data engineer with over two years of hands-on experience in big data and building reliable data pipelines. I specialize in using technologies like Spark, GCP, Azure, Databricks, Python, Scala, and the Hadoop ecosystem to create scalable data solutions. With five Microsoft certifications and one from Databricks, I’m committed to continuous learning and excellence.🔹 Technical Skills:I’m proficient in Spark, Databricks, Azure, Python, and SQL, enabling me to handle complex data manipulations and extract valuable insights.🔹 Project Highlights:Currently, I manage a large volume of machine data, building a robust pipeline with Spark, Python, Azure, and Databricks. I transformed JSON data for business intelligence and optimized algorithms using Scala, reducing processing time by 80% and cutting compute costs. I also integrated Jenkins and SonarQube to enhance workflow.In my previous project, I designed the pipeline architecture and efficiently loaded 10 billion records from AWS S3 to GCP with 95% accuracy.🔹 How I Add Value:I specialize in building strong data pipelines and enjoy working with teams to solve data challenges. I’m also passionate about helping my teammates grow and succeed together. If you’re looking for someone who is eager to solve data problems and create meaningful solutions, let’s connect!