Possessing extensive experience in data warehousing, AWS Cloud Business, and business intelligence, I have worked with Informatica and Databricks, focusing on data flow design, development, enhancement, and maintenance. My expertise includes real-time data ingestion utilizing Streamsets, as well as familiarity with the UDM model.
I have a strong background in dimensional modeling, data migration, data cleansing, data conversion, bridging, and ETL techniques across various databases and operating systems.
Proficient in Python, Databricks, Perl, Spark, Kubernetes, Docker, and other cloud-native technologies, I also have experience with Informatica Power Center, PL/SQL, COBOL, C, JCL, Teradata BTEQ, and Unix shell scripting. Additionally, I possess contextual knowledge of nationwide claims applications and data processing into data warehouses, along with experience in DataLakehouse development, focusing on ingestion, harmonization, and curation layers.
I have also developed application frameworks for ingesting third-party data, with over ten years of experience in the field.
My essential skills encompass data warehousing, AWS Cloud Business, and various data processing technologies, while my desirable skills include knowledge of the P&C insurance domain.
Equal Opportunity Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.