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I will build production data pipelines for your ai and rag application
India
Data Engineer
About this Gig
Thinking about adding AI to your business but unsure if your data is ready?
Most SMBs jump into AI projects only to hit the same wall: scattered data, no pipelines, no clear architecture. AI without a clean data foundation fails, slowly and expensively.
I help SMBs get the foundation right before they spend on AI tools or models.
What you get:
- A clear-eyed audit of your current data sources, quality, and gaps
- An architecture diagram tailored to your AI or RAG use case
- A platform recommendation report (Snowflake, Airflow, dbt, vector databases) chosen for your stack and budget
- ETL pipeline design recommendations you can hand to any engineer to build
Why work with me:
- Hands-on data engineering experience: Snowflake, Airflow, dbt, Python, SQL, Terraform, CI/CD
- I've designed real production data infrastructure, not just slideware
- Clear written deliverables, no jargon dumps
Best for: SMBs exploring AI, RAG, or LLM applications who need a buildable plan, not just consulting talk.
Not sure which package fits? Send me a message describing your situation and I'll point you to the right one or build a custom offer.
My Portfolio
FAQ
I'm not sure which package I need — can you help?
Absolutely. Send me a message describing your business, your data sources, and what you're hoping to do with AI. I'll recommend the right package or build a custom offer based on your situation. Most buyers find a quick chat saves time and gets them a better-fit deliverable.
Do I need to have data already, or can you help if we're just starting?
Both work. If you have data, I'll audit what you've got and identify gaps. If you're early and still figuring out what to collect, I'll map the data foundation you need to build toward your AI goals. Tell me where you're at and we'll go from there.
What do you mean by "AI readiness"? My business doesn't do machine learning.
You don't need ML to need AI readiness. If you're considering chatbots, RAG over your documents, internal copilots, or any LLM-powered tool, your data needs to be structured, accessible, and clean. The audit identifies whether your data can support those use cases today — and what to fix if it can't
Will I get something I can actually hand to a developer to build?
Yes. The Standard and Premium packages include architecture diagrams and ETL design recommendations specific enough that any competent data engineer can use them as a build spec. The deliverables are vendor-neutral, so you're not locked into hiring me for the implementation.
Can you also build the pipeline after the design phase?
Yes — many clients hire me to implement what we've designed together. After delivery, I can send a custom offer for the build phase with scope and pricing based on the blueprint. This way you start small, validate the plan, then commit to the build with full visibility.
What tools and platforms do you work with?
Snowflake, Airflow, dbt, Python, SQL, Terraform, and major vector databases (Pinecone, Weaviate, pgvector). For cloud, I'm comfortable across AWS, GCP, and Azure. The platform recommendation report compares options for your specific use case rather than forcing a one-size-fits-all stack.
How do we communicate during the project?
We'll use Fiverr's messaging for written exchange, and consulting minutes can be used for a video call (scheduled via your preferred tool). I'll share drafts mid-project so you can give input before final delivery — no surprises at the end.

