You will get expert cloud data engineering solutions for scalable pipelines.
Project details
As a Cloud-Based Data Engineer with expertise in AWS, GCP, and Azure, I specialize in designing and managing end-to-end data pipelines. I utilize services like AWS Glue, Lambda, S3, Redshift, Azure Data Factory, Databricks, BigQuery, DataFlow, Pub/Sub, and Dataproc for seamless integration, processing, and transformation of data. Leveraging Apache Spark and Python, I ensure high-performance batch and real-time data processing solutions, optimizing data storage, ensuring scalability, and enhancing automation. Let me help you build robust, cost-effective, and scalable data engineering solutions tailored to your needs.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$25
|
Standard
$30
|
Advanced
$35
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 3 | 8 |
Number of Scenarios | 2 | 3 | 4 |
Number of Model Variations | 2 | 2 | 8 |
Model Documentation | - | - | |
Data Source Connectivity | |||
Model Validation/Testing |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$30 - $50
Additional Revision
+$25
Additional Scenario
(+ 1 Day)
+$25
Model Documentation
(+ 1 Day)
+$25Frequently asked questions
30 reviews
(26)
(2)
(2)
(0)
(0)
SM
Saeed M.
May 3, 2022
AA
Adnan A.
Aug 29, 2025
Need Data Engineer with expert level skills of Azure Delta Lake, Azure Data Bricks and Python
AP
Austin P.
Jun 18, 2024
Fix Spark Python Function
NA
Nasser A.
May 1, 2024
Data Management Fundamentals, Database Design and Implementation
NB
Nisha B.
Jan 30, 2024
SnapLogic: Need a Subject Matter Expert for reviewing MCQ Questions
AC
Ace C.
Nov 7, 2023
Guidance of a hadoop and hive sql statement
Very responsive, nice, and professional!
About Maad
Cloud Data & AI Engineer | GCP, AWS, Azure | AI Pipelines
100%
Job Success
Karachi, Pakistan - 10:17 am local time
With 7+ years of experience in data engineering and cloud architecture, I specialize in designing data-intensive systems that process large-scale data efficiently and turn it into actionable insights and intelligent automation.
🔹 What I Can Help You With
Cloud Data Engineering & Big Data Systems
End-to-end ETL/ELT pipelines on GCP, AWS, Azure & Databricks
BigQuery, Redshift, Synapse, Microsoft Fabric Lakehouse
Apache Spark / PySpark (Databricks, distributed processing)
GCP Dataflow, Pub/Sub, Cloud Functions, Composer (Airflow)
AWS Glue, Lambda, S3 | Azure Data Factory & Synapse
Batch & real-time streaming pipelines (Kafka, event-driven systems)
Data modeling (star schema, lakehouse & warehouse architecture)
GenAI & AI-Powered Data Applications
LLM integrations (ChatGPT, Claude, Gemini)
GenAI-based data pipelines & intelligent workflows
Natural Language → SQL / data querying systems
AI copilots, automation tools & internal assistants
Recommendation systems (e-commerce, product analytics)
Analytics & Data Products
Product analytics (GA4, user behavior, funnel analysis)
Marketing attribution & performance analytics
Business intelligence & reporting systems
Data-driven strategy & decision support solutions
🔹 What Makes Me Different
I don’t just build pipelines I design end-to-end data platforms that connect data engineering, big data processing, and GenAI into real business use cases.
My focus:
Scalable architectures (handling high-volume data workloads)
Cost optimization (BigQuery, Databricks, cloud-native systems)
Clean, reliable data models for analytics and AI
🔹 Tech Stack
GCP: BigQuery, Dataflow, Pub/Sub, Cloud Functions, Composer
AWS: S3, Glue, Redshift, Lambda
Azure & Fabric: Data Factory, Synapse, Fabric Lakehouse
Databricks & Big Data: Apache Spark, PySpark
Core: Python, SQL, Airflow, Kafka
GenAI: ChatGPT, Claude, Gemini
🔹 Typical Projects I Work On
Building scalable data pipelines (APIs, GA4, ERP → Data Warehouse/Lakehouse)
Designing cloud-native data platforms (GCP, AWS, Azure, Databricks, Fabric)
Developing GenAI-powered tools (chatbots, automation, data assistants)
Creating real-time and streaming data systems
Implementing recommendation engines and analytics platforms
If you're looking for someone who can design and build a scalable data platform or AI-driven solution tailored to your business, let’s connect.
Steps for completing your project
After purchasing the project, send requirements so Maad can start the project.
Delivery time starts when Maad receives requirements from you.
Maad works on your project following the steps below.
Revisions may occur after the delivery date.
Data collection
Data Collection from the client
Data Analysis
After data collection, data analysis and wrangling and visualization