At Community Dreams Foundations, I create scalable ETL workflows with PySpark, SQL, and Databricks, moving auto loan data from PostgreSQL into Delta Lake on Amazon S3 for analytics and reporting.
I also developed a Databricks Vector Search and RAG platform for semantic search across 10K+ documents, with retrieval performance of about 500 ms. My work there includes a natural language-to-SQL framework that reduced manual SQL development effort by 40%.
At CMS IT Services, I optimized MapReduce, Hive, and Apache Spark workflows, increasing processing speed by 20%. I also developed Azure real-time analytics solutions processing over 2 million records daily.
At Equifax, I optimized the Talend ETL framework for commercial data, reducing processing time by 40%, and automated more than 200 repetitive database tasks with Bash scripts. My projects have also included Kafka and Spark streaming pipelines, dimensional data models, and LLM-powered analytics using LangGraph.
