I will build data pipelines, etl, data integration, AWS and ai enrichment

o. AWS is not required. I can build a pipeline that delivers data to CSV, Excel, Google Sheets, Supabase, BigQuery, a database, or another storage option. AWS is only used when it is the right fit for the project.

Yes. Terraform, CloudFormation, or structured deployment guidance can be included

Absolutely. Most of my clients aren't engineers. Tell me what you want in plain words ("pull my sales data into one place every morning") and I'll handle the technical side and explain it simply.

Absolutely. Storage, compute, and query costs are considered in every design.

Yes. Pipelines can be structured for Power BI, Tableau, or other analytics platforms.

I can build pipelines that extract data from websites, APIs, CSV/Excel files, databases, and cloud storage, then clean, transform, enrich, and deliver the data in a structured format such as CSV, Excel, JSON, Google Sheets, database tables, or cloud storage.

Yes. That is my bread and butter. I can build web scrapers for public websites where the data is accessible, and the project follows the website’s rules and legal requirements. I can also work with APIs when available, which is usually more stable than scraping.

AI data enrichment means using AI or LLM tools to add more meaning and structure to raw data. For example, a review can be classified by complaint type, a legal statute can be summarized and tagged, or a long text can be converted into structured fields.

Yes. I can add AI/LLM enrichment for tasks such as summarization, classification, tagging, entity extraction, text structuring, sentiment grouping, and turning unstructured text into structured fields.

Yes. Depending on your setup, I can create repeatable scripts and provide scheduling guidance. For full scheduling, deployment, and monitoring, please choose the Standard or Premium package or request a custom offer.