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Akhila Ponugoti
Mid-level Data Engineer specializing in cloud data pipelines and Snowflake
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Data engineer who has owned production pipelines end-to-end, ingesting 50–100 GB/day from APIs/S3 and near-real-time Kafka into Snowflake with strong data quality gates (Great Expectations/dbt) and Airflow-based reliability (SLAs, alerting, dashboards). Also built a Snowflake-backed REST data API with caching/pagination and versioned endpoints, and designed a compliant, scalable web-scraping system with anti-bot handling and safe backfills.
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Key Strengths
- Owned end-to-end data pipeline (ingestion → validation → transformation → serving) at 50–100 GB/day scale
- Strong data quality engineering (Great Expectations + dbt tests; quarantine layer; thresholds that block downstream loads)
- Production reliability/operations focus (Airflow retries, SLA monitoring, Slack/email alerting, health & freshness dashboards)
- Built curated data serving layer (Snowflake → REST API) with performance optimizations (query tuning, caching, pagination) and backward-compatible versioning
- Designed scalable web scraping pipeline with anti-bot tactics and robust failure handling (throttling, rotating UAs, proxies, exponential backoff, idempotency)
- Compliance-aware external data collection (robots.txt/TOS adherence; preference for official APIs; avoids sensitive/personal data)
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