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

@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!

@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

@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

@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

@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

@Hubready

Hello!, This is James from Hollywood. I’ve carefully read your project description regarding the Telemetry Dashboard Development and I’m excited about the opportunity to bring your vision to life. With over 15 years of experience in Python, Flask, PostgreSQL, and data visualization, I am confident in my ability to deliver a robust and user-friendly dashboard that meets your needs. To ensure I fully understand your requirements, could you please clarify the following questions to help me better grasp the project? 1. What specific data sources will the dashboard need to integrate with? 2. Are there any particular visualizations or metrics that are priority for your team? 3. What is the desired timeline for this project? My approach would involve defining the project scope, followed by iterative development phases to ensure we stay aligned with your goals. I’ve previously developed similar applications, including a vehicle telemetry app that visualizes real-time data and a dashboard for monitoring automotive performance. I am dedicated to providing a solution that is not only technically sound but also results-driven. Let’s connect to discuss how I can help you achieve your project objectives!

@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.     

@codefusion53

Hi I can build a complete end‑to‑end telemetry pipeline that captures J1939/CAN data, transmits it securely to a cloud endpoint, stores it in a structured PostgreSQL database, and visualizes it in Tableau dashboards. Using Python with FastAPI or Flask, I’ll implement a lightweight REST API (POST /telemetry) for data ingestion, validation, and storage. The pipeline will ensure clean timestamps, standardized units, and consistent schema for reliable analytics. Once the data is flowing, I’ll configure Tableau to connect directly to the database and design clear dashboards showing real‑time engine metrics, trends, and alerts. I have experience integrating automotive telemetry data and building data visualization workflows for connected‑vehicle prototypes. I can deliver a working prototype within 5 days and a stable version in about 2 weeks, along with setup documentation and recommendations for scaling. Best, Justin

@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.

@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

@dmytroy7

Hi, there. Based on my extensive experience and utilization of technology stacks tailored to your project, I can realize the end-to-end telemetry pipeline you require for connecting vehicle devices to a cloud server and Tableau dashboards. I have previously developed similar telemetry systems in the automotive sector, where I configured data capture from J1939/CAN devices, built RESTful APIs with Flask, and integrated data into visualization tools like Tableau. For instance, I implemented a telemetry solution that involved capturing engine parameters and presenting them effectively on dashboards. In this project, I plan to implement the key features you've outlined by utilizing Python for API development, PostgreSQL for data storage, and ensuring smooth integration with Tableau for visualization. I'll communicate with you in real-time throughout the entire development period and do my utmost to produce a satisfactory result. Could you clarify if you have any specific design requirements for the Tableau dashboards? Thank you. Dmytro

@daxm0

Hello, I’m interested in Telemetry Dashboard Development and would be glad to contribute my expertise to ensure its successful completion. I have a clear understanding of your main objectives. I’ve carefully reviewed the requirements to ensure nothing is overlooked. I will deliver a final result that aligns perfectly with your expectations. I am a Senior Software Engineer with over five years of experience in Python, REST API, FastAPI, Flask, PostgreSQL. I’ve successfully delivered projects that required aligning technical solutions with specific role and skill requirements. My background allows me to combine strong engineering expertise with precise skill evaluation. I have a few questions before we get started. Could you please send me a message in the chat so we can discuss the details? Looking forward, Dax Manning

@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