Michael Elliott

Over 10 years of experience as a Data Engineer in diverse enterprise environments. Designed and maintained robust ETL pipelines using Informatica, SSIS, Talend, and AWS Glue. Deep expertise in SQL, PL/SQL, and performance tuning across Oracle, Teradata, and SQL Server. Built cloud-native data solutions using AWS (Redshift, S3, Lambda, EMR) and Azure (ADF, Databricks, Cosmos DB). Developed end-to-end data workflows on GCP using BigQuery, Cloud Composer, and Dataflow. Hands-on with Snowflake for large-scale data warehousing and ELT development. Experienced in big data technologies including Hadoop, Hive, Spark, HBase, Kafka, and Flume. Automated data ingestion and transformation using Python and shell scripting. Implemented streaming data pipelines using Kafka and Spark Streaming. Strong knowledge of dimensional modeling, SCDs, fact/dimension tables, and schema design. Created dashboards and reports using Power BI, Tableau, and SSRS. Migrated data between platforms including Teradata, Snowflake, and Redshift. Familiar with containerization using Docker and orchestration with Kubernetes. Proficient in scheduling tools like Airflow, Control-M, Autosys, and TWS. Strong problem-solver and communicator; excels in Agile, cross-functional teams.