Data Engineering

A leading Indian smart meter provider partnered with JashDS to transform their AWS-locked system into a cloud-agnostic solution built on Kubernetes, achieving an 80% reduction in processing time for managing millions of consumer accounts. The new system revolutionized smart meter management through the implementation of FastAPI and TimescaleDB, enabling efficient charge calculations, automated connection management, and comprehensive usage tracking for 6 million consumers.

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 designed and implemented a modern data warehouse solution for a payment processing company handling 5TB of transaction data across 380 million ACH and Card records, resolving critical reporting performance issues through AWS Redshift architecture. The solution included automated ELT pipelines using AWS DMS and comprehensive monitoring with CloudWatch, enabling scalable on-demand reporting capabilities while separating analytical workloads from operational transaction processing systems.

JashDS developed an AI-powered compliance validation system for a major real estate platform company to automate the review of California Residential Purchase Agreement documents, implementing serverless architecture with AWS Lambda, Bedrock, and multiple LLMs to identify missing fields, incomplete sections, and regulatory compliance issues. The solution achieved > 90% accuracy in automated document validation and established a scalable foundation for expanding to additional document categories, significantly reducing manual review time and compliance processing costs.

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.

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 successfully modernized a digital marketing company's data infrastructure by migrating from 20 distributed EC2-hosted MariaDB instances to a centralized Aurora MySQL RDS cluster, followed by real-time data replication to Redshift for analytics, resulting in 20% operational cost reduction and 15% query performance improvement. The comprehensive solution leveraged AWS DMS for seamless data migration, implemented automated backup and recovery mechanisms, and established a scalable data warehouse architecture that separated analytical workloads from operational systems.

Successfully developed solution to migrate on-premises web application to AWS cloud infrastructure, achieving improvement in deployment efficiency through Terraform-based infrastructure as code implementation. The solution established separate Development and Production environments with Aurora MySQL databases, Application Load Balancers, and Web Application Firewall protection for enhanced security and scalability.

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.

We transformed Quickbase data into an AI-powered conversational analytics platform using Amazon Q Business, enabling business users to gain instant insights through natural language queries and reducing time-to-insight by 85%. We also maintained data accuracy through an automated ETL pipeline with daily synchronized updates.

A real estate platform provider enhanced their ProBidder AI system by implementing AWS Bedrock integration and comprehensive materials management capabilities and automating bill of materials generation. The solution included advanced input validation, project progress tracking with real-time visualization, and seamless integration with existing audio/video processing functionality, significantly improving operational efficiency and project management capabilities.

JashDS developed an automated outbound IVR system for a home care services provider that integrated Salesforce with Amazon Connect, reducing manual calling efforts by 80% and processing 4,000-4,800 automated calls per campaign. The event-driven solution leveraged AWS Step Functions, Lambda, and EventBridge to intelligently schedule and route calls while maintaining comprehensive call recordings and automated CRM updates.