Data Engineering

A leading clean energy management platform needed to process massive volumes of real-time EV telemetry data from multiple manufacturers and charging stations to generate critical utility reports. JashDS implemented a scalable streaming architecture using Apache Kafka and Databricks Delta Live Tables. Reduced report generation time and enabled near real-time delivery of both granular usage analytics and peak-demand summaries through automated medallion architecture pipelines.

JashDS developed a scalable serverless AWS architecture for a dash cam technology company, replacing their legacy FTP system with a comprehensive solution featuring ESE Fargate, Lambda functions, S3 storage, SQS and Kinesis queuing to handle video footage and telemetry data processing. The implementation supported a projected tenfold increase in data volume while providing automated scaling, reduced latency, and improved reliability for their new dash cam product line through modern cloud-native data processing pipelines utilizing Aurora RDS, ECS Fargate, and site-to-site VPN connectivity.

JashDS transformed a leading employee feedback and analytics company's manual AI POC into a production-ready, self-service platform with intuitive dropdown interfaces and dynamic demographic filtering, reducing manual analysis time by 85% while improving user adoption by 95% through AWS serverless architecture. The solution leveraged AWS Bedrock with Claude AI for intelligent survey insights, implemented comprehensive CI/CD pipelines with Terraform infrastructure as code, and featured contextual document and system prompt integration.

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 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.

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 migrated a data services company's on-premise Teradata database to Azure cloud data lake using advanced automation and big data technologies. The solution leveraged Azure Databricks, Spark SQL, and Azure Data Factory to create production-ready data transformations and automated orchestration processes that modernized the client's entire data infrastructure.

A cybersecurity and compliance platform successfully migrated from legacy infrastructure to a modern cloud-native architecture, overcoming complex multi-tenant database challenges and fragmented data storage that threatened scalability and competitive positioning. The solution achieved improvement in data processing efficiency through implementing real-time Change Data Capture pipelines, streaming data processing with AWS Kinesis and Databricks, and centralized analytics infrastructure using Amazon QuickSight.

An EV cab booking company required a fully automated backend integrated with WhatsApp Business API to streamline booking workflows and enable real-time trip management. Our team built a scalable Python and PostgreSQL-based solution with FastAPI that increased booking efficiency by 80% and ensured seamless trip updates and notifications through automated message parsing and asynchronous processing.

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 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 a comprehensive data warehouse and analytics platform for a film advertising company, integrating PostgreSQL databases and Google Analytics through automated ETL pipelines built with Apache Airflow on Google Cloud Platform. The solution delivered real-time campaign performance dashboards that enabled film distributors to optimize marketing strategies and track social media traffic attribution, significantly improving their ability to analyze film campaign effectiveness and make data-driven marketing decisions.

Implemented AWS Control Tower and optimized CloudFormation deployment processes for an enterprise company transitioning from on-premise to cloud-based customer deployments, reducing manual deployment effort and inconsistent multi-account governance. Implemented a comprehensive AWS Control Tower solution to centralize their cloud operations. The implementation reduced account provisioning and established automated compliance monitoring across all customer deployments through the use of AWS Control Tower Guardrails and AWS Config Conformance Packs

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.

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.

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.