yvnalvworks

Data Collection

I build reliable data collection pipelines from APIs, websites, sensors, and operational systems, so you can turn raw signals into clean, structured datasets ready for analysis, dashboards, or machine learning.

APIsWeb ScrapingIoT/SensorsETLAutomation
Discuss a projectSee related projects

Outcomes

  • Automated data extraction and ingestion with reliable scheduling
  • Clean, structured datasets ready for analysis and reporting
  • Reduced manual data work and faster decision-making
  • Monitoring and alerts for pipeline reliability
  • Documentation and reproducible workflows

Common use cases

Competitive price tracking

Collect product prices and changes over time for insights and alerts.

Sensor / IoT ingestion

Stream device data into a database for monitoring and analysis.

API integrations

Connect internal/external APIs and unify data into one schema.

Operational reporting datasets

Build datasets that power dashboards and machine learning.

How I work

  1. Scope sources, access, and data model (what you need + why)
  2. Prototype extraction and validate data quality
  3. Build ingestion pipeline (ETL/ELT) and storage schema
  4. Add validation, retries, logging, and monitoring
  5. Deliver exports or integrations to downstream systems
  6. Document and handover with clear runbooks

What you get

  • Automated pipeline (scripts/services) with scheduling
  • Clean dataset schema + export options (DB/CSV/Parquet)
  • Monitoring logs + failure alerts (optional)
  • Documentation + handover

Ready to talk?

Email me with your data source and desired output. I'll suggest the best approach.

What to prepare

  • Data sources and access method (API/website/sensors)
  • Update frequency (real-time/daily)
  • Expected volume and retention period
  • Desired output format (DB/export/dashboard)
Email me