As a Udemy instructor, I bring a strong foundation in big data and data engineering, with hands-on experience in developing high-performance data solutions. Currently a Big Data Developer at one of the top leading financial institution, I specialize in building fault-tolerant data frameworks, enhancing data processing efficiency, and constructing micro-batch streaming pipelines using tools like Kafka, Spark, and Hadoop. My expertise extends to implementing validation checks, streamlining data ingestion, and supporting large-scale data migrations to modern technology stacks, significantly reducing processing time and boosting adaptability. With a solid technical skill set in SQL, NoSQL, PySpark, Talend, and Amazon EMR, I am excited to share my knowledge with learners eager to harness the power of big data. Join me as we dive into the dynamic world of data engineering and explore practical, real-world applications.