You will get Build an Automated IoT Data Pipeline to Google BigQuery or PostgreSQL
Project details
Stop losing valuable sensor and telemetry data in isolated silos. I will build a robust, fully automated data pipeline that extracts data from your physical devices (IoT sensors, smart home appliances, industrial controllers) and loads it into a secure cloud data warehouse like Google BigQuery or PostgreSQL.
What sets me apart?
As a professional Automation & Instrumentation Engineer, I don't just write Python scripts — I understand the physical origin of your data. My extensive background in PLC programming and industrial automation allows me to seamlessly bridge the gap between shop-floor hardware and modern cloud analytics. I build data pipelines with the same fail-safe reliability as industrial control systems.
What you will get:
Cloud Database Setup: Configuration of a scalable data warehouse (BigQuery / PostgreSQL).
Automated Data Extraction: Python-based ingestion scripts to pull data via APIs.
Workflow Orchestration: Deployment of an automated scheduler (Prefect / Cron).
Data Transformation: Clean, structured SQL tables ready for immediate use in business dashboards.
What sets me apart?
As a professional Automation & Instrumentation Engineer, I don't just write Python scripts — I understand the physical origin of your data. My extensive background in PLC programming and industrial automation allows me to seamlessly bridge the gap between shop-floor hardware and modern cloud analytics. I build data pipelines with the same fail-safe reliability as industrial control systems.
What you will get:
Cloud Database Setup: Configuration of a scalable data warehouse (BigQuery / PostgreSQL).
Automated Data Extraction: Python-based ingestion scripts to pull data via APIs.
Workflow Orchestration: Deployment of an automated scheduler (Prefect / Cron).
Data Transformation: Clean, structured SQL tables ready for immediate use in business dashboards.
Database Type
MySQL, MS SQL, OracleWhat's included
| Service Tiers |
Starter
$120
|
Standard
$200
|
Advanced
$450
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Queries | 2 | 5 | 10 |
Query Debugging | |||
Query Optimization | - | ||
Query Scheduling | - | ||
Query Analysis | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $300
Additional Revision
+$50
Additional Query
(+ 1 Day)
+$75
Query Scheduling
(+ 1 Day)
+$150Frequently asked questions
About Dauren
B2B Lead Generation Specialist | Data Extraction & CRM Automation
Atyrau, Kazakhstan - 3:06 am local time
I understand that the quality of your pipeline depends entirely on the quality of the data going into it. My approach ensures your outreach efforts are fueled by verified, accurate, and relevant business intelligence.
My Lead Generation & Data Expertise:
B2B Prospecting: Expert-level research on LinkedIn, industry directories, and business intelligence platforms to identify decision-makers (Founders, CEOs, Managers).
Data Accuracy & Enrichment: Utilizing verified email finding tools and manual cross-referencing to ensure 95%+ data deliverability.
CRM Integration & Automation: Expert experience in setting up workflows in HubSpot, GoHighLevel, and n8n to ensure your leads are ready for outreach from the moment they are found.
Technical Edge: Unlike generic lead gen specialists, I build custom extraction scripts (Python/Playwright) to pull data from complex, non-standard business sources.
If you are looking for a specialist who treats lead generation as an engineering process—prioritizing accuracy, data integrity, and pipeline efficiency—let's discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Dauren can start the project.
Delivery time starts when Dauren receives requirements from you.
Dauren works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture Review & Access Setup
I will review your data sources, verify API access, and set up the initial cloud database environment (BigQuery/PostgreSQL).
Pipeline Development (Extraction)
I will write the Python scripts to reliably extract telemetry/data from your sensors or APIs and load it into the database.