CAN/J1939 Fleet Telemetry Pipeline

@AwaisChaudhry

Hello, I understand you need a robust, cloud-based telemetry pipeline to transform raw CAN/J1939 streams into clean, structured data that plugs directly into the ESSNA AEMS™ analytics stack. I will start with remote commissioning and cloud configuration, then design a scalable data model, clear naming conventions, and secured access controls. I will implement reliable export workflows (APIs and scheduled CSVs) while keeping MQTT optional for future growth. Validation of live telemetry against expected parameter IDs and signal integrity will be built in, with automated checks and alerts to ensure ongoing data quality. The architecture will be documented for repeatable rollout across more assets. I will propose a cloud strategy (AWS IoT, Azure IoT, or equivalent) based on performance, cost, and compatibility with ESSNA, and develop repeatable deployment steps, data schemas, and access controls. The result will be a stable, scalable, and reproducible pipeline delivering clean data to ESSNA with minimal manual processing. Which cloud platform do you prefer for data export and what are your priority SLAs for data freshness? Best regards,

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Amazon Web Services, MQTT, Data Integration, API Development, Cloudflare and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@Herculesz

Hi I can help implement the cloud telemetry pipeline for your installed heavy-duty telematics unit and structure the incoming CAN/J1939 data for clean export into the AEMS™ analytics stack. The main technical challenge is validating raw CAN/J1939 packets against expected PGNs/SPNs and converting noisy live telemetry into organized, reliable, and continuously exportable datasets. I have experience with industrial telemetry workflows, IoT data ingestion, CAN/J1939 data handling, AWS IoT/Azure IoT-style pipelines, API exports, scheduled CSV delivery, MQTT, database structuring, and cloud integration architecture. I can help commission the device remotely, define device groups, naming conventions, access permissions, data hierarchy, and validation rules for signal integrity and parameter mapping. I can also configure export workflows so validated telemetry can be delivered through APIs or scheduled CSV files without manual processing. My focus will be to create a stable, scalable, and documented setup that can be repeated later across additional assets and fleet deployments. Thanks, Hercules

@emilesd617

Hi, I am an industrial telemetry integration developer with 8 years of rich experience. I am familiar with CAN/J1939, AWS IoT, MQTT, API Development, Data Integration, Cloudflare. For this project, the most important part is converting raw CAN/J1939 streams into clean, validated, and exportable telemetry data for your AEMS analytics stack. I can configure the cloud telemetry environment, validate live packets against expected parameter IDs, organize device hierarchy and permissions, and set up reliable API or scheduled CSV export workflows. I can also document the full setup so the same pipeline can be repeated across more fleet assets later. I'm an individual freelancer and can work in any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@srdjan9494

Hi, Your project is much closer to an industrial telemetry and cloud integration engagement than a standard software project, and I understand the importance of building a stable, reproducible pipeline rather than just forwarding raw CAN/J1939 packets. I can assist with: Remote commissioning and telemetry platform configuration CAN/J1939 packet validation and PID mapping review Structuring cloud telemetry environments for scalability API and scheduled export workflows Secure device grouping, permissions, and data hierarchy setup Deployment documentation for future fleet expansion For the architecture, I would recommend a lightweight but scalable pipeline using AWS IoT Core or Azure IoT depending on your preferred downstream integration model. The environment can be organized to support: Real-time ingestion Clean normalized datasets Scheduled CSV/API exports Future MQTT expansion if needed I also understand the importance of maintaining signal integrity and consistent naming conventions across fleet assets so the downstream AEMS analytics layer remains predictable and audit-friendly. Deliverables would include: Configured telemetry environment Validated ingestion pipeline Export workflow setup Documentation for repeatable rollout Test validation summary I’m available to begin immediately and can support both the initial deployment and future scaling phases. Best regards, Sara Petronijevic

@walterm021

Hello, I have experience with industrial telemetry pipelines, CAN/J1939 environments, cloud IoT infrastructure, and structured data integration workflows for fleet and heavy-equipment systems. I can assist with commissioning the telematics device into AWS IoT/Azure IoT or similar infrastructure, validating live CAN/J1939 packets and PIDs, organizing telemetry hierarchies, permissions, and export workflows, and building a stable scalable pipeline for downstream analytics integration into your AEMS™ environment. I also have experience with API exports, scheduled CSV delivery, MQTT-ready architectures, signal validation, and deployment documentation for repeatable fleet rollout processes. Thanks.

@OBRY8246

Hi, I have experience working with industrial telemetry systems, CAN/J1939 data environments, and cloud-based integration workflows for scalable monitoring and analytics. I can help configure and validate your telemetry pipeline, structure the cloud environment, organize device/data hierarchy, and implement reliable export workflows for integration into your AEMS platform. I’m also comfortable working with AWS IoT, Azure IoT, MQTT-based architectures, API integrations, and automated CSV delivery systems. My focus is on building stable, maintainable, and reproducible telemetry infrastructure with clean documentation for future fleet scaling and deployment. I’d be happy to discuss the current hardware setup, preferred cloud platform, and rollout requirements in more detail. Looking forward to connecting. Best regards

@joevenheld

Hi, I will implement a robust cloud-based telemetry environment for your existing telematics unit, ensuring seamless integration with your AEMS™ analytics stack. My experience with industrial telemetry and CAN/J1939 data streams positions me well to validate incoming data packets against expected parameters and maintain signal integrity. I recommend leveraging AWS IoT or Azure IoT based on scalability and reliability for your specific needs. I will structure the telemetry environment with clear naming conventions and user access permissions, ensuring that the data hierarchy supports efficient API exports and scheduled CSV deliveries. My approach will prioritize a stable and scalable pipeline that minimizes manual processing and supports future enhancements like MQTT. To ensure a smooth rollout, I will document the entire deployment process for easy replication across additional assets. Let’s discuss how we can move forward with this integration to meet your operational goals effectively. Thank you.

@toqeer74

The challenge of converting raw CAN/J1939 data into organized datasets for seamless integration into your AEMS™ analytics stack requires a robust cloud-based telemetry environment. Leveraging AWS IoT, Azure IoT, or similar platforms, I propose an architecture that focuses on validating telemetry packets against expected parameter IDs while ensuring signal integrity. The design will include a structured approach to data organization, grouping, and export workflows with a focus on API-based integrations and optional MQTT capabilities for future scalability. Initial deliverables can be ready within 30 days. Do you have a specific timeline for the first milestone?

@masonc63

Hi there, With my extensive experience as a Senior Full-Stack Engineer specialized in API Development, I am the perfect fit for your CAN/J1939 Fleet Telemetry Pipeline project. I understand the intricacies of industrial and fleet telematics and have successfully developed cloud-based data integration workflows in various infrastructure such as AWS IoT and Azure IoT. My strong suite also includes troubleshooting and ensuring signal integrity and expected parameter IDs, which is crucial for a successful implementation. To ensure a stable, scalable, and reproducible telemetry pipeline, I will not only configure efficient export workflows but also provide thorough documentation of the entire deployment process. This will enable easy rollout across additional assets and fleet deployments without dependence on ongoing manual processing. Moreover, my familiarity with the AEMS™ environment further strengthens my candidacy. Understanding its importance for downstream reporting, analytics, and operational modeling applications, I'll tailor the telemetry environment to seamlessly deliver clean, structured data directly into ESSNA AEMS™ for your needs. Let's initiate a conversation to discuss more details about your preferences between AWS IoT, Azure IoT, Cloudflare or any pertinent matters to devise the most effective plan for your project. Valery V.

@codeandcommand

J1939 parsing is where most pipelines get tripped up. Are you decoding PGNs on the edge device before pushing to MQTT, or sending raw CAN frames to AWS for server-side processing? The approach is completely different for each. I can start today and have a working ingestion pipeline up within a week. The bid reflects the description as written. Final numbers come after we walk through the full scope together. Want to jump on a quick call?

@manthank44

Hello, I’m thrilled about the opportunity to collaborate on your specialized industrial telemetry integration project. With my background in developing cloud-based solutions and expertise in handling CAN and J1939 data streams, I am well-equipped to address the complexities involved. I understand the importance of validating data, organizing telemetry environments, and creating reliable export workflows to ensure seamless integration into your AEMS™ analytics stack. Here’s how I’ll approach your project: ✔ Validate live CAN/J1939 telemetry packets ✔ Structure and organize the telemetry environment ✔ Configure export workflows for API-based and scheduled CSV deliveries ✔ Document the deployment process for future scalability My goal is to deliver a stable, scalable telemetry pipeline that effortlessly feeds data into the ESSNA AEMS™ system, facilitating insightful reporting and operational modeling. Best regards, Manthan

@GridsmithLTD

Hi, I carefully reviewed your scope, and this clearly requires someone experienced with industrial telemetry workflows, not a generic software developer. The critical part here is building a stable CAN/J1939 cloud pipeline that validates signal integrity properly while keeping the environment scalable and reproducible for future fleet expansion. I can assist with structuring the telemetry environment, configuring reliable export workflows, and documenting the deployment process cleanly so the integration into your AEMS™ stack remains consistent and maintenance-friendly. I’d also be happy to discuss the most practical cloud architecture approach based on your existing hardware setup. One question before proceeding: are you already leaning toward a specific cloud platform, or would you prefer recommendations based on scalability and deployment cost? Best regards, Grid Smith

@markupdudes

Hi, I understand you're looking for an expert to implement a specialized cloud-based telemetry pipeline for CAN/J1939 data streams captured from your heavy-duty telematics units. With extensive experience in industrial telemetry and cloud data integration, particularly with AWS IoT and Azure IoT, I am confident in delivering a stable, scalable, and validated telemetry environment tailored to your needs. My approach will start with remote commissioning and device configuration followed by thorough validation of live telemetry packets and structuring data with clear naming conventions and access controls. I will ensure reliable export workflows with flexible delivery mechanisms including API and scheduled CSV exports, positioning MQTT for future scalability. Documentation will be completed for seamless replication across your fleet. I propose commencing work immediately and can deliver the initial setup and validation within 7 days to keep your project timeline efficient. Which cloud telemetry platform do you currently prefer or lean towards, and are there any specific constraints or preferences for the export formats? Best regards,

@donm91

Hello I understand you’re seeking a contractor to implement a cloud-based telemetry pipeline for heavy-duty CAN/J1939 data. Challenges often involve ensuring signal integrity, structured data hierarchy, reliable export workflows, and scalable integration with AEMS™ analytics. With expertise in industrial telemetry, fleet telematics, CAN/J1939 protocols, and cloud platforms (AWS IoT, Azure IoT), I’ve designed and deployed telemetry environments that convert raw vehicle data into validated, exportable datasets suitable for analytics and operational modeling. My approach: validate live telemetry against expected parameters, organize devices and data hierarchies, configure automated API/CSV export workflows, and provide full documentation for reproducible deployment across fleets. You’ll receive a stable, scalable, and fully documented telemetry pipeline ready for integration with ESSNA AEMS™. Best regards,

@jay8mac

Lets chat, a free consultation and no obligation. I understand you need a clean, professional, and user-friendly solution for your "CAN/J1939 Fleet Telemetry Pipeline" project. My skills in PHP, Java, JavaScript are a perfect fit for this project. While I am new to freelancer.com, my extensive experience delivers integrated, automated solutions. Regards, Jason McLachlan

@ashinnd84

Hello there, we are a team of Senior Full Stack Web and Mobile App Developers and we can do this project in no time. Thanks Ashish Kumar.