I will write and optimize sql queries and python data pipelines
About this Gig
Need clean, reliable data pipelines without the enterprise price tag?
I build and optimize ETL pipelines in Python and SQL moving your data from messy sources into a clean, query-ready warehouse (BigQuery, PostgreSQL, MySQL, and more).
What you get:
Optimized SQL (window functions, CTEs, query tuning)
Python ETL pipelines (pandas, clean, reusable code)
Airflow orchestration (scheduling, retries)
Data quality checks, unit tests & clear docs
Why me: I'm a lead software engineer with 5+ years in production systems you get tested, documented, maintainable pipelines at freelancer rates.
Based in Indonesia (GMT+7). I reply within 24h and deliver on a clear schedule.
Message me before ordering so I can confirm the right package for your project.
Tools & Platforms:
Kafka Connect
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Other
FAQ
I'm not sure which package I need — can you help?
Absolutely. Message me with your data sources and what you want at the end (a report, a table, a scheduled pipeline). I'll tell you honestly which tier fits — or set up a custom offer if it's smaller than Basic.
What is a "connector"?
A connector is one source-to-destination data flow — e.g., pulling from a CSV/API/database and loading it into your warehouse. Standard ETL covers 1 source; Orchestrated Pipeline gets 3; Production Pipeline gets 5.
What databases and warehouses do you support?
BigQuery, PostgreSQL, MySQL, Google Cloud Storage, and Oracle. Working with something else? Message me and I'll let you know if I can help.
Will I get the source code — do I own it?
Yes — you own everything. You receive clean, commented code plus documentation on how to run and maintain it.
Do you handle real-time / streaming data?
This gig is for batch ETL pipelines. Streaming is a separate service — message me and we can discuss it directly.
What do you need from me to start?
Access to (or samples of) your data sources, your destination details, and a clear description of the end result you want. The more detail up front, the faster and cleaner the delivery.
What if the pipeline needs changes after delivery?
Every package includes revisions (1–3 depending on tier) to get it exactly right within the agreed scope.
