I am a passionate data engineer with over five years of experience in building scalable and fault-tolerant data architectures. I have a strong theoretical background in data management and database systems, as well as extensive practical skills in implementing data solutions using modern data stack technologies. Throughout my career, I have designed and developed complex data pipelines, optimized data ingestion and processing workflows, and built data warehouses and lakehouses. I thrive on solving challenging problems and collaborating with cross-functional teams to deliver innovative data-driven solutions that provide meaningful business insights. I am continuously learning and keeping up-to-date with emerging technologies and industry trends. My goal is to leverage my expertise and experience to drive the growth and success of organizations that I work with. Feel free to connect with me to discuss any exciting opportunities in the data engineering field. Key Skills: - Big Data technologies: Hadoop, Spark, Flink,Kafka, Azkaban, Airflow, Hive, RDBMS, NoSQL - Programming languages: Java, Python, Scala , SQL, Shell - Data warehousing: data modeling, data pipelines, ETL, OLAP - CI/CD tools: Jenkins, Git Actions