•Experienced Data Engineer with a strong foundation in programming languages such as Python, Java, Scala, and SQL. Proficient in designing and managing scalable data systems using big data technologies including Hadoop, Spark, Hive, and Sqoop. Adept at implementing ETL processes with tools like SSIS, Informatica, Talend, and Data Stage, and skilled in data pipeline orchestration using Apache Airflow, AWS Step Function, and Prefect. Expertise in streaming technologies such as Apache Kafka, Spark, and Amazon Kinesis to process real-time data streams.•Extensive experience with cloud platforms including AWS, Azure, and GCP, leveraging services like EC2, Redshift, Glue, and Azure Data Factory for building and optimizing data workflows. Knowledgeable in data warehousing solutions with Snowflake, Teradata, Redshift, and BigQuery. Strong analytical and visualization skills using libraries like Pandas, NumPy, and TensorFlow, and tools such as Power BI, Tableau, and IBM Cognos to deliver actionable insights.•Familiar with modern DevOps tools like Git, Jenkins, Docker, and Kubernetes to enhance collaboration and deployment efficiency. Proven ability to work within Agile and SDLC methodologies, with a track record of improving data-driven processes to support business objectives.