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Data collection and ETL to remove manual collection and fragile datasets

Data Collection and ETL Area

Collection, cleaning and loading from APIs, web sources, databases and files, with clear logic and checks to avoid invisible errors.

Many data processes start from small-looking tasks: downloading files, copying tables, querying APIs, collecting web pages or updating a database. The value is turning those steps into a repeatable flow that respects the source.

When it makes sense

  • Data collection depends on copy-paste, manual exports or occasional scripts.
  • APIs exist, but normalization, deduplication and incremental updates are missing.
  • Web data must be collected with limits, retries and checks, not aggressive scripts.
  • The team needs an updated and traceable dataset for analytics or automations.

What I actually build

  • A documented ingestion script or pipeline.
  • A normalized dataset ready for analytics, dashboards or downstream workflows.
  • Deduplication, refresh and quality-control strategy.
  • Operational notes on source limits, retries, credentials and maintenance.

How I work

  • Source analysis (official API, export, database, file or responsible web scraping) and technical/practical access review.
  • Prototype with a few records to validate schema, keys and transformations.
  • Workflow automation with handling for common issues (rate limits, pagination, duplicates) and stable output in CSV, Parquet, database or cloud storage.
  • Delivery with run instructions, monitoring points and documented update logic.

FAQ

Do you also do web scraping?
Yes, when appropriate and sustainable. First I check whether APIs, exports or more stable sources exist; if scraping is needed, I set limits, retries and source-respecting behavior.

Can the result feed a dashboard?
Yes. The dataset can be written to files, databases or cloud storage and prepared for BI tools or later analysis.

How do you handle data that changes over time?
We define a refresh logic: full refresh when simple, incremental when efficiency, history or traceability are needed.