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Fiverr Pro
Português
$
USD
I will build data pipelines using dbt, snowflake, or databricks spark
Snowflake, dbt, and Agentic AI for Enterprise Data Stacks
Analytics Engineer specializing in modern data stack architecture — Snowflake, dbt Core, and Agentic AI via the Model Context Protocol (MCP).
I help data teams cut context-switching and Snowflake cre...
Sobre este Serviço
Your data pipeline shouldn't be the reason reports are late or dashboards are wrong. I build the transformation and ingestion layer that makes your data trustworthy whether that's a clean dbt project on Snowflake, a Databricks/Spark job feeding S3, or the full chain end to end.
What I bring:
- Modular dbt Core projects: staging to intermediate to mart layers, tested and documented
- Databricks/Spark ingestion pipelines writing to S3, with automated copy into Snowflake
- Snowflake data modeling built for query performance, not just "it runs"
- Clean, version-controlled code your team can actually maintain after I'm gone
I work with teams stuck with brittle stored procedures, undocumented models, or a pipeline nobody fully understands anymore. Whether you need one piece of that chain fixed or the whole thing built from scratch, I scope it to what you actually need not a bigger project than the problem calls for.
Send me your current stack and pain point, and I'll tell you honestly what it'll take to fix it.
Warehouse Platform:
Snowflake
•
Databricks
Tipo de projeto:
New Build
Perguntas frequentes
Do I need both dbt/Snowflake and Databricks/Spark work, or can I hire you for just one?
Just one is fine. Basic and Standard packages can be scoped to pure dbt/Snowflake transformation work, or pure Databricks/Spark to S3 ingestion work. Premium is the only tier that bundles the full chain end to end. Tell me your scope in the order requirements and I'll build to that.
Can you migrate our existing stored procedures or legacy ETL scripts into dbt?
Yes, this is a common project. Send me a sample of your current logic and table volumes, and I'll scope the migration, including how to preserve business logic while moving to a modular, tested dbt structure.
How does data get from Databricks into Snowflake in your pipelines?
Spark jobs in Databricks write processed data to S3, then Snowflake tasks load it into staging tables, ready for dbt to transform into your mart layer. I'll document each hop so your team can maintain it.
What's included in the "Documentation" add-on for Basic orders?
A written breakdown of your current pipeline's structure, key issues found, and prioritized recommendations, plus one example model or job refactored as a reference for your team to follow.
Will you write tests for the pipeline, or just build it?
Testing is included in Standard and Premium: source freshness checks, generic dbt tests, and custom checks for business-critical logic. Basic is audit-only and doesn't include new test coverage.
