I will design data architecture and build python data pipelines
AI Engineer, RAG Chatbots, AI Agents and Data Architecture
About this Gig
Make your data easier to use for analytics, applications and AI. I design data flows and build Python pipelines connecting files, documented APIs and databases.
My experience includes a unified data-access layer for heterogeneous databases, tenant routing and cross-service observability.
BASIC - $5 SAMPLE: one CSV with up to 100 rows and 5 columns, one simple rule (for example, trim whitespace or normalize a date column), transformed file, Python snippet and brief instructions. No API, database or cloud setup.
STANDARD: one source to one destination, up to five transformations and 100,000 sample rows, data-flow diagram, validation, tests, code and setup guide.
PREMIUM: up to three sources to one destination, ten transformations and 100,000 sample rows total, architecture diagram, checks, logs, tests, code and deployment to one agreed environment.
Revisions cover the original scope. Cloud fees, licenses, large historical migrations, real-time streaming and ongoing operations are separate. Sources need accessible schemas or documented APIs.
Message me with your stack, sample data and desired output before ordering. Larger architecture reviews can be scoped separately.
Destination Platform:
Amazon S3
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Other
Tools & Platforms:
Other
FAQ
What exactly do I get for $5?
A small paid sample: one CSV up to 100 rows and 5 columns, one simple transformation, the output CSV, a Python snippet and brief instructions. It does not include a full pipeline, architecture review, integration or deployment. One revision covers the same rule and file.
What counts as a source, and are cloud costs included?
One source means one agreed file schema, one documented API endpoint or one database table/query. Unrelated schemas or endpoints are extra sources. Cloud and license fees are paid by you. Standard and Premium include a data-flow diagram; larger platform architecture needs custom scoping.
