Identify, design, and implement internal process improvements: automating manual processes, creating CI/CD pipelines, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Hadoop, Spark, Kafka, SQL databases, AWS Cloud Services big data RDS, Redshift, Storm, Spark-Streaming, object-oriented/object function scripting languages: Python, R, SAS, Java, C++, Scala, MapReduce, HDFS etc. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Must be willing to travel to set up systems to various clients at unanticipated locations across the nation and perform feasibility studies and evaluate user requirements and evaluate user requirements.