• 3+ years of experience as a Data Engineer, specializing in data pipeline stages including acquisition, integration, and real-time data marts. • Expertise in SQL, database design, and ETL pipeline implementation, proficient in AWS (EC2, S3, Redshift, Lambda, Kinesis, DynamoDB, Glue) and Azure (Azure DevOps, Azure Data Lake, Azure Data Factory, Azure Databricks). • Extensive experience with Apache Spark for large-scale data processing, including processing terabytes of log data in under 2 hours. • Skilled in Hadoop, Hive, Apache Airflow, DataBricks, Apache Kafka, and Apache Flink for big data storage, processing, and analysis.