I will debug and fix your python, sql or pyspark data pipeline
Senior Data Engineer and AI Product Engineer
About this Gig
Pipeline broken, slow, or producing wrong numbers? Send it to me and get it back working with the root cause explained in plain English so it doesn't happen again.
I'm a Senior Data Engineer who has built and fixed production data systems in banking (including work on the UBSCredit Suisse integration), construction and startups.
WHAT I FIX
Failing Python or PySpark jobs
Wrong, slow or timing-out SQL
Broken Airflow DAGs and scheduling issues
Databricks job and notebook errors
API ingestion failures
Silent data quality problems (duplicates, nulls, drift)
EVERY DELIVERY INCLUDES
Working, tested code
A short write-up: what broke, why, and how to prevent it
Honest advice if the real problem is bigger than the fix
HOW IT WORKS
Message me with the failing code, the error or wrong output, and sample data (anonymised is fine)
I confirm scope and tier before you order
You get the fix, the explanation, and one round of revisions minimum
Not sure which package fits? Message me first I'll scope it honestly and recommend the cheapest option that solves it.
My Portfolio
FAQ
What do I need to send you?
The failing code or query, the exact error message or a description of the wrong output, and sample data if possible. Anonymised or dummy data is completely fine — I never need production credentials.
What if the problem turns out to be bigger than one bug?
I'll tell you straight away, before doing billable work beyond scope. You'll get a clear explanation of what I found and a fair quote for the larger fix — no surprise charges.
Can you work directly in my environment?
For most fixes, no access is needed — I work from your code and sample data. If the issue only reproduces in your environment (e.g. Databricks or ADF), we can arrange a screen-share session or a limited-access approach. Message me to discuss.
Do you offer ongoing support after the fix?
The delivery includes prevention advice. If you want ongoing maintenance or monitoring, message me and we can set up a custom arrangement.
What technologies do you cover?
Python, SQL, PySpark, Airflow, Databricks, Azure Data Factory, PostgreSQL, SQL Server, and Delta Lake. If your stack isn't listed, message me — it may still be in range.
