Data Engineering

JashDS developed a scalable, multi-tenant SaaS analytics platform for a hospitality client, consolidating data from disparate management systems and reducing data processing time by 75%. The solution incorporated advanced ETL pipelines, a secure data warehouse, and interactive dashboards, enabling rapid, data-driven decision-making across multiple hotel properties.

JashDS revolutionized a green energy tech company's data infrastructure by implementing a scalable Matillion-based ETL solution and automated CI/CD processes, resulting in 2-3x faster client onboarding and a 35% reduction in Google Cloud costs. The comprehensive solution included reusable components, optimized SQL queries, and efficient data aggregation techniques, enhancing the client's ability to process vast amounts of utility data from 40+ companies and support their AI-driven green energy initiatives.

JashDS enhanced a healthcare platform's chatbot accuracy by 10% by implementing an advanced data ingestion and analysis pipeline, leveraging Azure and Medallion architecture to process 5 GB of daily conversation data and deliver optimized Power BI reports.

JashDS modernized and automated data ingestion for a green energy AI solutions provider by developing a pipeline_builder library, reducing pipeline creation time by 40%, and improving data accessibility for 40+ utility sources.