ESP32 Energy Meter Cloud Integration

@amelectronics

I will develop a complete, secure ESP32-to-Google Cloud data pipeline for your energy-meter hardware. The firmware will reliably read voltage, current, and power values and publish them over Wi-Fi using MQTT with TLS and device authentication. On the cloud side, I will configure Google Pub/Sub and a Cloud Function to verify, log, and store incoming data for long-term use. All code will be clean, fully commented, and easy to maintain. I will provide clear setup steps and a concise README for flashing, monitoring, and testing. The solution will be validated with continuous data streaming for at least 24 hours without drops.

@BOSIREX

I am a mechatronic engineer with more than 5 years experience in embedded systems and IoT and I believe I can handle your task to perfection.

@elect2eng

I am good in esp32 programming, integrating various sensors etc. Please send me the hardware to bangaore so that i can do the programming and upload the values using mqtt

@SMBelectronics

Hi, I can take full ownership of this. I build end-to-end ESP32 data pipelines, from sensor acquisition to secure cloud ingestion. For your setup, I’ll handle reading voltage, current, and power from the energy-meter IC at a stable sampling rate, then securely pushing the data over Wi-Fi into **Google Cloud** using TLS and proper device authentication. I’ll deliver: * Clean, well-commented ESP32 firmware (Arduino or ESP-IDF) * Secure publishing to Google Cloud using a simple, maintainable stack (Pub/Sub, Firestore/BigQuery, and a lightweight Cloud Function for verification) * Clear setup notes so you can recreate the cloud side from scratch * A concise README covering build, flash, and monitoring steps The goal is a reliable pipeline that runs continuously, not a demo that breaks after a few hours. I take on selected embedded + cloud projects only, and if I commit, I’ll make sure you see stable data streaming for the full 24-hour validation period. If this fits, send over the energy-meter IC details and your preferred firmware framework, and I’ll get started right away. Regards Abbas JawadWala P.S. I’ll keep the cloud architecture intentionally simple so it’s easy to extend later for dashboards or analytics without rework.

@sivom

Hi, I am interested in your project. I have already worked with ESP32 and energy meter IC ADE7763 using Arduino. Please share your hardware details. We can discuss Regards Senthil Chennai

@FranciscoSilvi

Hi there, as you can see in my portfolio, I have many devices developed with ESP32, so I believe I can handle your project without any issues and without the need for you to send me any hardware. We can emulate the firmware remotely without problems; I can test all the reporting from my lab to your server and then validate the data acquisition. I imagine you’re using something like a PZEM-004T, and I already have experience working with those.

@CyberSasu

As an experienced and versatile freelancer, my expertise lies in various domains including Mobile & Web Development, and most significantly for your project, Embedded Systems & IoT. My extensive knowledge of microcontrollers (Arduino, Parallax, Intel) and IoT development, combined with a strong affinity for server administration makes me well-suited to handle your ESP32 Energy Meter Cloud Integration project with ease. Moreover, I have proven experience in building robust e-commerce platforms which translates well to creating the required data pipeline for your task. My proficiency in working with Google Cloud tools such as IoT Core, Pub/Sub, Cloud Functions, Firestore, and BigQuery further strengthens my candidacy for this project. I'll ensure that the solution I build is not only simple and maintainable but also enables secured data transmission through TLS encryption and device authentication as you have mandated. I believe in the quality of my work so much so that once live data streaming has been successfully maintained for at least 24 hours without drops as per your criteria, I’ll expect payment immediately rather than delaying it. Let's undertake this project together; I am excited to showcase my skills and help you ensure the long-term storage and future dashboarding of your energy consumption data.

@hazrata25

Hi! This project is exactly the kind of work I enjoy doing end-to-end — not just “making data move,” but building a clean, reliable, and secure IoT pipeline that runs unattended. I’m an embedded firmware engineer with hands-on experience in ESP32 (ESP-IDF & Arduino), secure Wi-Fi connectivity, MQTT, TLS authentication, and cloud backends, and I’ve already built similar device-to-cloud pipelines for energy monitoring and telemetry systems. Here’s how I’d approach your setup: ESP32 firmware: I’ll write well-structured, fully commented firmware to read Voltage, Current, and Power from your energy-meter IC at a sensible, stable sampling rate. Data acquisition, buffering, and publishing will be designed to avoid drops and Wi-Fi hiccups during long runs. Secure cloud delivery (Google Cloud): I’ll implement TLS encryption + device authentication, then push data into Google Cloud using a simple, maintainable stack (typically MQTT → Pub/Sub → Cloud Function → Firestore or BigQuery). No over-engineering — just what’s needed for reliability and future dashboards. Verification & reproducibility: You’ll get: A quick Cloud Function that logs and echoes incoming payloads Clear step-by-step notes or scripts to recreate topics, services, and storage A concise README covering build steps, flashing, libraries, and monitoring

@mo7e76533lion

Hello, I can deliver this as a clean, secure, and production-ready IoT data pipeline from ESP32 to Google Cloud, with clear documentation and zero guesswork. I have hands-on experience with ESP32 (Arduino & ESP-IDF), sensor data acquisition, secure Wi-Fi communication, and cloud ingestion on GCP. I will implement efficient sampling of voltage, current, and power from the energy-meter IC with proper filtering and timing to ensure stable long-term operation. On the device side, I’ll use TLS-secured communication with device authentication (JWT or certificates) and publish data reliably over Wi-Fi. Firmware will be fully commented, modular, and easy to extend. On Google Cloud, I’ll design a simple and maintainable architecture using Pub/Sub for ingestion, Cloud Functions for validation/logging, and Firestore or BigQuery for storage (depending on your preference for analytics vs dashboards). I’ll provide step-by-step setup notes or scripts so you can recreate everything from scratch in your own project. You’ll receive: • Stable ESP32 firmware with clear build/flash instructions • Cloud setup guide + verification function to confirm live data • A concise README for deployment and monitoring My focus is reliability, security, and clarity—once powered on, the system will stream clean data continuously for 24+ hours without drops.

@Schn1696

Hi, I'm Sachin Kumar — an Embedded Developer with a strong background in building robust firmware and integrating embedded systems with IoT platforms. I specialize in Embedded C and have hands-on experience with microcontrollers like ESP32 and Arduino, as well as technologies such as MQTT , AWS-IoT core and Successfully implemented projects that append real-time device data directly to Google Sheets I am confident that I can complete all the requirements of your job efficiently and accurately. Looking forward to working with you. Best regards, Sachin Kumar

@KennerRoj

Hello, I understand you need a complete pipeline from the ESP32 energy‑meter module to Google Cloud, with secure data transmission and clear documentation. I have hands‑on experience working with ESP boards and similar ICs, and I can deliver fully commented firmware along with the cloud setup so you can easily replicate and maintain it. My approach is to keep the solution simple, reliable, and well documented, ensuring the device streams voltage, current, and power data securely over Wi‑Fi and that you can verify it in your Cloud project. To make sure I align with your expectations, could you confirm if you prefer the data stored in Firestore for easy dashboarding or in BigQuery for deeper analytics? Once that detail is clear, I can provide a realistic timeline and get started right away. Best regards, Kenner

@atlabsco

I will develop a complete, secure data pipeline that reads voltage, current, and power-consumption values from your provided energy-meter IC using an ESP32 and publishes the data reliably to your Google Cloud environment. On he device side, I will implement fully commented ESP32 firmware (Arduino or ESP-IDF, based on your preference) that: Interfaces with the energy-meter IC to acquire Voltage, Current, and Power measurements Samples data at a sensible, configurable rate suitable for long-term monitoring Establishes a secure Wi-Fi connection Publishes data using TLS encryption with proper device authentication Includes reconnect and error-handling logic to ensure stable 24/7 operation On the cloud side, I will set up a simple and maintainable Google Cloud architecture using services such as: Pub/Sub for secure message ingestion Cloud Functions for basic validation and logging of incoming data Firestore or BigQuery for structured storage and future dashboarding I will provide clear, step-by-step documentation to recreate the Google Cloud configuration, including topic setup, authentication keys, and verification steps. A lightweight Cloud Function will be included to confirm incoming payloads through logs or console output.