You will get I will automate ETL workflows for clean and reliable business data


Project details
What sets this service apart is the shift from traditional batch processing to high-velocity, real-time data streaming. While many provide basic ETL scripts, I deliver production-ready architectures built with Kafka and Spark to handle data at scale with sub-second latency. By integrating Apache Airflow for orchestration and Docker for containerization, I ensure your pipeline is not just a one-off tool, but a resilient, automated, and scalable system.
I don't just move data; I build a reliable backbone that adheres to enterprise-grade standards—like those found in Microsoft Fabric—ensuring your analytics are always powered by the most current and clean information available.
I don't just move data; I build a reliable backbone that adheres to enterprise-grade standards—like those found in Microsoft Fabric—ensuring your analytics are always powered by the most current and clean information available.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$25
|
Advanced
$35
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $40
Additional Revision
+$5About Mahmoud
Data Extraction/ETL | Data Engineering, ETL Pipeline, Data Science
Luxor, Egypt - 8:57 am local time
Steps for completing your project
After purchasing the project, send requirements so Mahmoud can start the project.
Delivery time starts when Mahmoud receives requirements from you.
Mahmoud works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture & Environment Setup
I will configure the necessary cloud or local environments and establish secure connections to your data sources (APIs, Databases, etc.) and your chosen destination (Data Warehouse or Lake).
Core ETL/Streaming Development
I will build the extraction and transformation logic. This includes developing the Python scripts, SQL queries, or Spark jobs required to clean and process your data according to your business rules.
