You will get data engineering, api, extraction, python, sql, etl projects
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Got messy data eating up your time? I'll fix that.
I build Python + SQL pipelines that pull your data, clean it up, and keep it flowing automatically. No more manually copy-pasting from 5 different sources every week.
Here's what I actually do:
Pull data from APIs or scrape it off websites (even the messy dynamic ones)
Set up or optimize your database so it's not a nightmare to query
Build ETL/ELT pipelines that run on their own
Clean and merge data from multiple sources into one place
Set up automated reports so your Excel/BI dashboards update themselves
I've worked on projects from quick one-off scripts to full pipelines running in the background 24/7. Whatever stage you're at, I'll figure out the fastest way to get you clean, reliable data not just a script that works once and breaks next week.
Not sure exactly what you need? Send me a quick message with what you're working with and I'll tell you straight up what it'll take.
I build Python + SQL pipelines that pull your data, clean it up, and keep it flowing automatically. No more manually copy-pasting from 5 different sources every week.
Here's what I actually do:
Pull data from APIs or scrape it off websites (even the messy dynamic ones)
Set up or optimize your database so it's not a nightmare to query
Build ETL/ELT pipelines that run on their own
Clean and merge data from multiple sources into one place
Set up automated reports so your Excel/BI dashboards update themselves
I've worked on projects from quick one-off scripts to full pipelines running in the background 24/7. Whatever stage you're at, I'll figure out the fastest way to get you clean, reliable data not just a script that works once and breaks next week.
Not sure exactly what you need? Send me a quick message with what you're working with and I'll tell you straight up what it'll take.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$150
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
32 reviews
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BS
Bazz S.
Aug 9, 2026
KDB+/q license issue
Danish did the job successfully in a very short time. thanks. strongly recommend him.
ZH
Zenobia H.
Apr 17, 2026
ETL: Job Data Ingestion & Simple BI Reporting
RJ
Rubesh J.
Feb 20, 2026
Data Engineer – Corporate Hierarchy Mapping for CRM Integration
Danish is an extremely competent data engineer. He was very thoughtful and devised clever approaches to deliver on the project. He is also a good human being and a pleasure to work with. I recommend him 100%. We will work together again!
TM
Trace M.
Feb 12, 2026
Data Engineering Project: API to Big Query
RK
Rakesh K.
Oct 28, 2025
Sr analyst
About Danish
Data Engineer | BigQuery Data Warehouse, SQL, Postgres, Metabase, APIs
100%
Job Success
Mithi, Pakistan - 5:51 am local time
Tell me what's manual or what feels off, and I'll give you a straight read on what it'll take to fix it.
Over the last 3 years I've delivered 55+ data projects across finance, healthcare, energy, and e-commerce, from one-off ETL jobs to platforms processing billions of records a day. I work GCP-first (BigQuery, Airflow, dbt, Dataflow), and I'm comfortable across AWS, Postgres, and the messy real-world stack most teams actually have.
What I build:
- End-to-end ETL/ELT pipelines in Python, SQL, Airflow, and dbt
- BigQuery / Snowflake / Redshift warehouses and data models that stay clean as they grow
- Migrations off legacy jobs and on-prem databases — without losing data in the move
- Metabase, Looker Studio, and Power BI dashboards your team will actually open
- Query and cost optimization when your warehouse bill stops making sense
- API integrations with proper logging, retries, and checkpoints, so failures are visible instead of silent
You probably need me if:
- Your pipelines break and you hear it from a stakeholder, not an alert
- Reports run slow, cost too much, or quietly disagree with each other
- A previous developer left and nobody fully understands the setup anymore
- You're scaling fast and the current data stack is starting to crack
A few real results:
- Architected pipelines processing 5B+ records daily at 99% reliability
- Cut a client's warehouse costs ~50% by migrating legacy jobs to BigQuery
- 4× throughput and 70% faster ingestion on an API pipeline pulling 2K+ domains a day
- 40% faster pipeline runs through Airflow optimization
How I work: a clear yes/no on feasibility before you commit, regular updates, and no disappearing mid-project. Most clients come back — usually because fixing one thing surfaces the next.
If that sounds like your situation, send a short note on what's breaking or what you're trying to build, and I'll tell you straight what it'll take.
Steps for completing your project
After purchasing the project, send requirements so Danish can start the project.
Delivery time starts when Danish receives requirements from you.
Danish works on your project following the steps below.
Revisions may occur after the delivery date.
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