Telemetry Dashboard Development

@MashoodurRehman1

I am an experienced software engineer specializing in data pipelines and dashboard integration, with a strong proficiency in Python, specifically using Flask for building REST APIs. My background in automotive telemetry and experience with J1939/CAN protocols equips me to capture and transmit engine parameters to a cloud server efficiently. I also possess familiarity with configuring database systems, notably PostgreSQL, to structure and maintain data integrity, which aligns with the project's needs. I have previously developed telemetry systems that connect IoT devices to visualization tools like Tableau, transforming raw data into actionable insights. My approach includes setting up secure API endpoints for JSON data reception, ensuring timestamp accuracy, unit consistency, and creating a tabular format suitable for analytics. This methodology guarantees a seamless data flow, meeting the concise timeline presented. I am interested in further discussing your needs and have past work in similar automotive projects showcased in my profile. Could you elaborate on any specific metrics or dashboards you are prioritizing? Thank you.

@neerajdhameliya

Hello, Building an end-to-end pipeline that translates raw J1939/CAN bus data into actionable Tableau insights requires a precise hand, especially when ensuring timestamp integrity and unit consistency across the HTTP/HTTPS transition. For this prototype, I will deploy a FastAPI-based endpoint to handle the JSON telemetry, providing high-performance validation for your vehicle units. I'll structure a PostgreSQL schema optimized for Tableau, ensuring timestamps and units are normalized for real-time visualization. My approach focuses on a robust data bridge that scales from a CSV prototype to a production database within your two-week window. Please review my work here: https://www.freelancer.com/u/neerajdhameliya Best, Niral

@ZohaibRoy

⭐⭐⭐⭐⭐ Build an End-to-End Telemetry Pipeline for Automotive Data ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project details and see you're looking for a freelancer to build a telemetry pipeline for vehicle devices. Look no further; Zohaib is here to help you! My team has successfully completed over 50 projects in the automotive sector. I will create a seamless data flow from your vehicle devices to the cloud and into Tableau dashboards. ➡️ Why Me? I can easily handle your telemetry pipeline project as I have 5 years of experience in Python, REST APIs, and data handling. My expertise also extends to database setup and visualization tools. I have a strong grip on automotive data and J1939 protocols, ensuring a smooth execution of your project. ➡️ Let's have a quick chat to go over your project details. I’d love to show you samples of my previous work. Looking forward to discussing this with you! ➡️ Skills & Experience: ✅ Python (Flask/FastAPI) ✅ REST APIs ✅ Data Handling ✅ PostgreSQL ✅ J1939 Protocol ✅ Tableau Dashboards ✅ JSON Validation ✅ Data Visualization ✅ Lightweight API Development ✅ Data Structuring ✅ Telemetry Systems ✅ Automotive Experience Waiting for your response! Best Regards, Zohaib

@LiveExperts

Hello, As an experienced engineer at Live Experts®, I can confidently say that we are the right choice for your Telemetry Dashboard Development project. Our team’s expertise spans across multiple areas that directly align with your project requirements. We have a strong background in Python, data handling, and REST APIs, which will be heavily utilized from configuring the unit to developing the API endpoint - crucial components of your project. Furthermore, our experience in database management, including using PostgreSQL, aligns perfectly with your needs of structured data storage. In addition to these more general skills, we also have valuable knowledge in the automotive sector. Given your emphasis on prior experience in this area, I must mention that our team has worked on several similar automotive projects in the past. In particular, we’ve used our skills to set up end-to-end telemetry systems, analysed J1939/CAN data and embraced it into usable formats. By choosing us for this project not only will you receive a fully functioning pipeline from vehicle devices to Tableau dashboards but you will also benefit from the breadth and depth of our team's expertise. The functionality and scalability of the system are guaranteed to be effectively addressed by combining my skills in data handling with those of our embedded systems experts. In summary, we not only meet but exceed all your stated requirements ensuring top-notch deliverab Thanks!

@Herculesz

Hi I have experience building telemetry pipelines using Python (FastAPI/Flask), REST APIs, PostgreSQL, and data visualization with Tableau. The main technical challenge here is ensuring reliable ingestion of J1939/CAN data while maintaining clean structure, consistent units, and accurate timestamps for downstream analytics. I can design a lightweight API endpoint to securely receive telemetry data, validate JSON payloads, and store them in a normalized PostgreSQL schema optimized for time-series queries. I’ve handled similar data flows where device-level inconsistencies required transformation and validation before storage to avoid dashboard inaccuracies. I can also ensure stable HTTP/HTTPS transmission and handle edge cases like duplicate or malformed data. On the visualization side, I will prepare a clean dataset and connect it to Tableau with structured dashboards for key engine parameters. The result will be a complete, working pipeline from device to dashboard with clear documentation for scaling. Thanks, Hercules

@corpmember29

Hello, I have 10+ years of experience in Python development, REST APIs, and data engineering, including working with automotive telemetry and CAN/J1939 data. I can build a complete end-to-end telemetry pipeline from device to Tableau dashboard, including: Configuring vehicle units to capture J1939/CAN parameters and transmit via HTTP/HTTPS. Building a lightweight API endpoint (POST /telemetry) to validate and store JSON data in PostgreSQL or CSV. Ensuring clean timestamps, unit consistency, and tabular structure for dashboard readiness. Connecting the dataset to Tableau and building basic dashboards for visualization. Providing setup documentation for future scaling. I WILL PROVIDE 2 YEARS OF FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE, and work with agile methodology from prototype to deployment. I have delivered similar automotive telemetry and IoT dashboards (link in profile) and can complete the prototype in 3–5 days, with a stable version within 2 weeks. I eagerly await your positive response. Thanks

@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 Python, Automotive, PostgreSQL, Tableau, Flask, Data Visualization, API Development, CAN Bus, FastAPI, REST API 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.     

@kamran2012

Interesting project, I will build the full telemetry pipeline — FastAPI endpoint for receiving J1939 JSON payloads, PostgreSQL storage with proper schema design, and a connected Tableau dashboard showing key engine parameters. One thing I will handle upfront: normalizing CAN bus parameter IDs (SPNs) into human-readable columns with consistent units and UTC timestamps, so Tableau reads a clean, query-ready table instead of raw hex data. Questions: 1) Which telemetry device are you using — is it already transmitting HTTP, or does that need configuration? 2) Which J1939 SPNs do you need captured for the pilot? Ready to start whenever you are. Kamran

@darrenpin

Hello there, I can develop a complete telemetry pipeline that captures J1939/CAN data from your vehicle devices, transmits it via HTTP/HTTPS to a server, and stores it in a structured PostgreSQL database. I will create a lightweight API endpoint to receive and validate incoming JSON, clean and standardize timestamps and units, and prepare the data for visualization. Finally, I will connect the dataset to Tableau and build basic dashboards, with full setup documentation for easy replication. I would be happy to discuss your project in further details at your convenience. Best, Darren

@abhisaini0188

Hello, I specialize in end-to-end telemetry solutions and can build a robust pipeline connecting vehicle devices to a cloud server and into Tableau dashboards. I will configure your unit to capture J1939/CAN data, transmit engine parameters securely via HTTP/HTTPS, and implement a lightweight API endpoint (POST /telemetry) using Python (Flask or FastAPI). Incoming JSON data will be validated and stored in a structured format—initially CSV, with the option to use PostgreSQL for scalability. I’ll ensure clean timestamps, consistent units, and a usable tabular structure for seamless visualization. Once the dataset is ready, I’ll connect it to Tableau and create functional dashboards displaying key engine parameters and telemetry trends. Deliverables include a fully operational telemetry flow, a clean structured dataset, a connected Tableau dashboard, and concise setup documentation. I have experience handling automotive device data and telemetry pipelines, and I can deliver a prototype within 3–5 days, scaling to a stable version in under 2 weeks. With Regards!

@Feriver

Hello, I understand you need a complete telemetry pipeline from vehicle devices to Tableau dashboards. I can configure a J1939/CAN interface to capture engine parameters, transmit JSON data via HTTP/HTTPS to a lightweight Python API (Flask/FastAPI), and validate and store it in a structured PostgreSQL database. Data will be cleaned, normalized, and timestamped for consistency to ensure seamless visualization in Tableau. Deliverables include a fully operational end-to-end data flow, a structured dataset ready for analysis, a connected Tableau dashboard with basic visualizations, and clear setup documentation. The pipeline will be scalable for future expansion and optimized for reliability and performance. Thanks, Asif

@alizain721

I will build the POST /telemetry endpoint and connect J1939/CAN-equipped units to Tableau within your 3 to 5 day prototype window. I’ll capture engine parameters over HTTP/HTTPS, validate incoming JSON, and prepare a clean PostgreSQL-backed dataset for Tableau. One issue pilots often miss is clock skew and intermittent connectivity; adding monotonic device timestamps and server-side normalization prevents misaligned time series and bad visualizations later. I previously delivered a fleet telemetry prototype for 120 trucks using FastAPI, PostgreSQL and Tableau where I implemented J1939 parsing, timestamp normalization, and dashboards that reduced manual data prep from hours to minutes. See the automotive project link in my profile. My approach is to configure the unit’s J1939 mapping, implement a lightweight FastAPI POST /telemetry that validates and writes normalized rows to Postgres (CSV export available for initial setup), then connect the dataset to Tableau and build basic dashboards. I will include simple auth, schema versioning and concise setup documentation. Can we jump on a 15 minute call to review the device model, get sample CAN frames, and confirm whether you want CSV first or direct Postgres integration? Regards, Zweidevs

@ianb65

As a veteran Full-Stack professional with over 7 years of experience, my credentials shine radiantly in fulfilling your Telemetry Dashboard Development project. My skillset lies in building robust, scalable web and mobile applications, tailored to individual client needs. I'm highly proficient in key technologies for your project such as Python (Flask or FastAPI) for API development, Python programming for data handling, and PostgreSQL database management. Notably, your project mentions the preference of familiarity with automotive devices and J1939 data - I have just that. I have produced impressive solutions in the automotive sector leveraging APIs to connect with various devices and extracted similar vehicular data flawlessly. To further bolster our compatibility, I have also worked extensively with Tableau, harnessing its power for comprehensive data visualization needs, exactly what you are seeking. Choosing me for this task won't simply be a transaction; it would evolve into an ongoing partnership. Once proven successful within the short-term pilot phase, further scaling-up of the system will be a seamless process under my supervision. Being adept at delivering high-performance software, any potential issues would be tackled promptly, ensuring your current - and future - needs are met meticulously. Let's collaborate and turn this Telemetry Dashboard vision into a bénéfique reality!

@arbu1499

Hi, I understand you need a complete telemetry pipeline—from J1939/CAN data capture on the vehicle device through a secure API into a structured dataset and finally visualised in Tableau dashboards. I’ve worked on similar data pipelines using Python (FastAPI/Flask), handling real-time ingestion, validation, and storage in PostgreSQL with clean timestamping and normalized units for analytics. I can deliver a reliable end-to-end prototype quickly, including API endpoint, database schema, and a connected Tableau dashboard ready for scaling. Looking forward for your positive response in the chatbox. Best Regards, Arbaz N

@mykhaylob4

✋ Hi there. I can build a complete telemetry pipeline from vehicle devices to a Tableau dashboard, capturing, storing, and visualizing engine data accurately. ✔️ I have experience working with automotive telemetry, J1939/CAN data, and building REST APIs to collect and process vehicle information. In a previous project, I set up a pipeline with Python, Flask, and PostgreSQL to receive live engine data, structure it consistently, and connect it to dashboards for real-time monitoring. ✔️ For your project, I will configure the data capture unit, build a POST /telemetry endpoint to validate incoming JSON, store data in PostgreSQL, and clean timestamps and units for easy use. I will then connect this dataset to Tableau and create dashboards showing key engine parameters and trends. ✔️ I will also provide simple setup documentation so the prototype can be deployed and extended easily, ensuring the system works reliably from device to visualization. Let’s chat to review your devices and start building the telemetry flow. Best regards, Mykhaylo

@asharib17

I can deliver a complete telemetry pipeline from device → API → database → Tableau within your timeline. Approach: Set up a lightweight, reliable ingestion layer and clean data structure so Tableau connects seamlessly. Scope: * Configure device for J1939/CAN capture + HTTP/HTTPS transmission * Build API (`POST /telemetry`) using FastAPI * Validate + normalize incoming JSON (timestamps, units, structure) * Store in PostgreSQL (CSV fallback if needed) * Prepare clean tabular dataset for Tableau * Create basic Tableau dashboards (engine parameters, trends) Pipeline: Device → API → Validation → DB → Tableau Deliverables: * Working end-to-end data flow * Structured dataset (PostgreSQL) * Connected Tableau dashboard * Simple setup documentation Timeline: * Prototype: 3–5 days * Stable version: ~1–2 weeks I focus on clean ingestion + data consistency so dashboards work reliably from day one.

@techsty2014

Hello there, I will build the full telemetry pipeline — configure J1939/CAN data capture from the vehicle unit, set up a FastAPI endpoint (POST /telemetry) to receive and validate incoming JSON over HTTPS, store it in PostgreSQL with clean timestamps and consistent units, and connect the dataset to Tableau with working dashboards for engine parameters. Documentation included. For J1939 data specifically, I will build a PGN decoding layer that maps raw CAN parameter group numbers to human-readable engine metrics before storage — this keeps your PostgreSQL schema meaningful and makes Tableau dashboard building straightforward without needing CAN expertise on the visualization side. Questions: 1) Which telemetry device are you using, and does it already output JSON over HTTP, or does that need configuration? 2) Which engine parameters are the priority for the initial Tableau dashboard? Let's discuss via chat. Best regards, Faizan

@KanzahAfaqAhmad

Hi There, I understand you're seeking a freelancer to build an end-to-end telemetry pipeline for vehicle devices that connects seamlessly to a cloud server and Tableau dashboards. My expertise aligns perfectly with your requirements, including configuring J1939/CAN data capture and developing a lightweight API to validate and store incoming data efficiently. With over 7 years of experience in Python, FastAPI, REST API development, and data visualization, I have successfully delivered projects in the automotive sector, enabling robust data handling and clean integration with Tableau. You can view my relevant portfolio here: https://www.freelancer.com/u/KanzahAfaqAhmad I am confident that I can deliver a fully functioning data flow, structured datasets, and connected Tableau dashboards, ensuring a clean and usable output for visualization. Thank you for considering my proposal. I look forward to the opportunity to collaborate with you. Regards, Kanzah Afaq

@SkillCrafts

Having recently architected a real-time telemetry suite for a high-concurrency IoT project, I understand the nuances of visualizing high-frequency data without compromising performance. My experience focuses on creating low-latency interfaces that provide situational awareness, similar to monitoring tools I developed for a fleet management system handling millions of events daily. I am well-versed in data jitter, ensuring your dashboard provides an accurate source of truth for all metrics while maintaining a clean aesthetic that prioritizes critical information. For technical implementation, I propose a stack using React.js and D3.js for custom visualizations. I will leverage a WebSocket layer for real-time updates, backed by a time-series database like InfluxDB for efficient historical analysis. My approach includes building middleware for data normalization, ensuring only sanitized, high-priority packets reach the client to optimize performance. I will also incorporate automated thresholding and alerting hooks to ensure critical system deviations are flagged instantly. This architecture ensures high scalability as your data volume grows. To ensure the architecture aligns with your scale, what is the frequency of incoming packets, and will the dashboard require multi-tenant access control? I have provided links to my previous telemetry and visualization work in my profile as requested. I am available for a chat or a call to discuss your specific data sources and how we can best visualize your mission-critical metrics to ensure high-impact delivery.