I will do data engineering, etl pipelines, database migration and data warehousing
SaaS backends and AI integrations that turn your ideas into useful systems
About this Gig
Your reports need data that arrives clean and on time.
Create a dependable path from raw data to useful reporting. I build data engineering solutions that collect, clean and load your information for reporting.
Less routine work:
- ETL pipelines replace repeat imports.
- Validation checks flag missing or inconsistent records.
- Scheduled loads keep agreed datasets up to date.
Better visibility: Your team gets mapped fields, transformation rules and clear run instructions.
Share a sample file and the report you need to support. I'll scope the sources, destination and data checks before ordering.
Packages cover defined batch pipelines. Higher tiers add scheduling, warehouse modeling and a bounded database migration. Migration includes reconciliation and a rehearsal. Streaming and large migrations need a custom scope.
You get source code and a documented recovery process for deployed pipelines. Hosting and database fees remain in your accounts.
Send your data sources and target system. Let's build a data flow your reporting can rely on.
FAQ
What counts as one data source?
One source is one system or document collection with one connection method, such as a CRM API, database or file folder. Table and volume limits still apply. A second account, different API or separate database can count as another source.
How do you check that the loaded data is complete?
We agree on checks such as record counts, required fields, duplicate rules and important totals. I compare source and destination results and report exceptions. Business rules need your confirmation; passing checks does not prove every possible data issue is absent.
What is included in the database migration?
Premium includes one migration of up to 5 tables within the package's total table and volume limits. We agree on schema mapping, reconciliation, backups and a rehearsal. Stored-procedure conversion, live replication and application rewrites need a custom scope.
Can I use the result in Power BI, Tableau or another tool?
The output is prepared in the agreed database or warehouse with a documented schema, so your reporting tool can connect. Dashboard design, metric definitions beyond the agreed transformations and BI licensing are separate.
What if my data volume exceeds a package limit?
Send row counts, storage size, growth estimates and the required refresh frequency. I review connector limits and the target system before quoting. Larger history loads, streaming and complex transformations are priced and scheduled as a custom project.
