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Ankit Chaudhary
Senior Data Engineer specializing in cloud data platforms and analytics pipelines
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Data engineer focused on building and operating reliable Airflow-orchestrated pipelines into BigQuery, including daily billing ingestion (~1GB/day) and ad platform (Facebook/LinkedIn) data collection. Implemented end-to-end data quality checks plus org-wide incident response automation integrating PagerDuty, Slack, and Jira, and has experience executing large backfills (4–5TB) via time-window batching.
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Key Strengths
- Owned end-to-end daily ingestion pipeline from external API to BigQuery warehouse (~1GB/day)
- Implemented automated data quality checks (non-null checks, day-over-day record count validation) with alerting
- Built org-wide incident/alerting integration across Airflow using PagerDuty + Slack + Jira ticket creation
- Handled large historical backfills by batching (e.g., monthly batches for 4–5TB/year backfill)
- Designed for schema evolution by allowing additional columns to be appended in raw tables
- Pragmatic data modeling and performance setup (manual API inspection via curl, partitioned tables)
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