You will get an automated data pipeline for APIs, CSV, Excel, or databases
Project details
You will get a clean, reliable data pipeline that moves data from your API, CSV, Excel file, database, or business system into a structured output ready for reporting or analysis.
This project is best for teams that are tired of manual exports, messy spreadsheets, repeated data cleanup, or reporting workflows that take too much time.
I bring professional data engineering experience across Python, SQL, ETL/ELT pipelines, API integration, dbt, ClickHouse, Microsoft Azure, Microsoft Fabric, Databricks, data modeling, and reporting automation.
Depending on the package, I can help with extraction, cleaning, transformation, validation checks, logging, scheduling, documentation, and handover. My focus is not just writing a script, but delivering a workflow that is clear, tested, documented, and practical for business use.
Before starting, I will confirm your source data, required output, business rules, and validation needs so the scope stays clear and the final delivery matches your expectations.
This project is best for teams that are tired of manual exports, messy spreadsheets, repeated data cleanup, or reporting workflows that take too much time.
I bring professional data engineering experience across Python, SQL, ETL/ELT pipelines, API integration, dbt, ClickHouse, Microsoft Azure, Microsoft Fabric, Databricks, data modeling, and reporting automation.
Depending on the package, I can help with extraction, cleaning, transformation, validation checks, logging, scheduling, documentation, and handover. My focus is not just writing a script, but delivering a workflow that is clear, tested, documented, and practical for business use.
Before starting, I will confirm your source data, required output, business rules, and validation needs so the scope stays clear and the final delivery matches your expectations.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$250
|
Standard
$750
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 14 days |
Number of Pages Mined/Scraped | 1 | 2 | 3 |
Number of Sources Mined/Scraped | 1 | 2 | 3 |
Number of Revisions | 1 | 2 | 2 |
Frequently asked questions
About Hasan
Data Engineer | Python, SQL, APIs, ETL, Reporting & Automation
Karachi, Pakistan - 8:51 am local time
If your team is manually exporting files, cleaning spreadsheets, fixing broken reports, or struggling to combine data from different systems, I can help you replace that manual work with a reliable data workflow.
I can help with:
• Building ETL/ELT pipelines from APIs, CSV/Excel files, databases, and business systems
• Automating manual reporting workflows currently handled in Excel or Google Sheets
• Creating clean reporting tables and data models for analytics and dashboards
• Loading and transforming data using Python, SQL, dbt, ClickHouse, Microsoft Azure, and Microsoft Fabric
• Fixing unreliable Python/SQL scripts, slow queries, or broken data pipelines
• Adding validation checks, logging, audit tables, and error handling
• Web scraping and structured data extraction when APIs are not available
• Writing clear documentation so the workflow is easy to run, understand, and maintain
My background includes professional data engineering work across cloud data pipelines, API/file-based ingestion, warehouse loading, SQL transformations, data validation, orchestration, and reporting automation.
My working style is simple: understand the source data, define the expected output, build the pipeline, validate the results, and document the process properly.
If you need someone who can clean up a messy reporting process, automate a recurring data task, or build a reliable pipeline from source to reporting layer, I can help.
Steps for completing your project
After purchasing the project, send requirements so Hasan can start the project.
Delivery time starts when Hasan receives requirements from you.
Hasan works on your project following the steps below.
Revisions may occur after the delivery date.
Confirm source and output
I review your source type, sample data, desired output format, business rules, and package scope before starting the build.
Design the pipeline logic
I define how data will be extracted, cleaned, transformed, validated, and delivered based on the agreed requirements.