Experience
Entel Perú
Data warehouse ingestion improved by 50%, internal reporting CMS with 90% fewer errors, and hCaptcha-constrained telecom-line verification with about 70% success.
An early data-platform role focused on ingestion speed, internal reporting, and external telecom-line verification. The merged version keeps the data warehouse and CMS outcomes while adding the scraping contribution and monthly recognition.
Reduced data warehouse ingest time by 50% by building an efficient Airflow and AWS data pipeline.
Built an internal CMS for data reporting with NextJS and Django, cutting error rate by 90% versus the previous platform.
Applied Selenium and BeautifulSoup scraping to public market websites, increasing training data volume for predictive models by 20%.
Built a Selenium and speech-to-text workflow on AWS EC2 with rotating proxies under hCaptcha constraints to estimate external telecom-line counts, reaching about 70% success across the base.
Recognised as Entel Power of the Month in June.
50%
Ingest speed improvement
90%
Lower reporting error rate
+20%
Training data volume
~70%
Telecom-line verification success
Entel Power
Monthly recognition