LIVE DEMO

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Pick a real posting. The app checks whether Alex Sample, a fictional data engineer, is a fit, then drafts résumé bullets and a cover letter. Every claim cites one of Alex’s facts, so you can check it.

MEET THE DEMO CANDIDATE

Alex Sample

Data engineer · about 4 years in data, 7 years working · Remote (US). Fictional: every employer, school and number is invented.

All 22 facts the AI may use

Roles

  • F1 Data Engineer at Example Orchard, a fictional online grocery retailer, 2022 to present.
  • F9 Data Analyst at Sample Freight Co., a fictional regional logistics company, 2019 to 2022.
  • F19 Customer Support Specialist at Sample Outdoor Supply, a fictional retailer, 2016 to 2019; handled about 50 tickets a day and trained new hires.
  • F20 Part-time statistics and algebra tutor at a college learning center, 2013 to 2016.

Projects

  • F2 Rebuilt nightly order ingestion at Example Orchard from cron scripts into 14 Airflow DAGs with retries and alerting.
  • F5 At Example Orchard, modeled orders, inventory and customer data in dbt (about 120 models) with tests on keys and freshness; built the star schema finance and merchandising report from.
  • F6 At Example Orchard, built a Python service that validates supplier inventory files (CSV and JSON) from AWS S3 and loads them into Postgres, about 2 million rows a day.
  • F10 Built SQL and Metabase dashboards for on-time delivery at Sample Freight Co., used weekly by about 30 dispatch managers.
  • F13 At Example Orchard, defined product metrics (weekly active customers, basket size) with product managers and documented them in a shared metrics glossary.
  • F14 At Example Orchard, mentored two junior analysts on SQL and Git and wrote the team’s warehouse onboarding guide.

Results

  • F3 At Example Orchard, pipeline failures fell from about 6 a month to fewer than 1 after the Airflow rebuild.
  • F4 At Example Orchard, cut the main daily reporting refresh from 3 hours to 40 minutes by moving transforms to incremental dbt models.
  • F7 At Example Orchard, added data-quality checks that caught a broken supplier pricing feed before it reached dashboards, avoiding an estimated $40k in mispriced promotions.
  • F8 At Example Orchard, reduced the data platform’s monthly AWS bill by about 25% by right-sizing RDS instances and adding S3 lifecycle rules.
  • F11 At Sample Freight Co., wrote a Python forecast of weekly shipment volume (pandas and scikit-learn linear models) that stayed within 8% error and was used for driver scheduling.
  • F12 At Sample Freight Co., automated a manual Excel invoice reconciliation in Python, saving the billing team about 10 hours a week.

Skills

  • F15 Languages: Python (pandas, SQLAlchemy, pytest), SQL (Postgres, window functions, CTEs) and Bash.
  • F16 Data tools: dbt, Airflow, Postgres, AWS (S3, Lambda, RDS), Docker, Git and GitHub Actions.
  • F17 Analysis and BI: Metabase, Excel, descriptive statistics and A/B test readouts.
  • F18 Writes design docs and runbooks; takes part in a weekly on-call rotation for data pipelines.

Education

  • F21 B.S. in Mathematics, Example State University, 2016.
  • F22 AWS Certified Cloud Practitioner, 2023.

Never used, so never claimed: Spark, Kafka, Flink, Hadoop, Databricks, Snowflake, BigQuery, Redshift, Azure, GCP, Google Cloud, Kubernetes, Terraform, Scala, Java, Rust, C++, C#, Tableau, Power BI, Looker, TensorFlow, PyTorch, PhD, Master's, MBA.

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  3. Hover or tap a fact chip to see what backs each claim.
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United States includes remote roles open to US candidates.

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