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amani mudili
Mid-level Data Engineer specializing in cloud ETL pipelines (Azure, AWS, GCP)
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About
Data engineer/backend developer who owned end-to-end pipelines and external data collection systems, including API ingestion and large-scale web scraping. Worked at ~50M records/month scale, improving processing speed by 20% and reducing reporting errors by 15%, and shipped a Rust-based internal data API with versioning, caching, and strong validation/observability practices.
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Key Strengths
- Automated API data extraction and SQL-based validation at ~50M records/month scale
- Implemented missing/duplicate detection and exception reporting to reduce manual review time
- Improved data processing speed by 20% and reduced reporting errors by 15%
- Designed resilient large-scale web scraping system with monitoring, retries/exponential backoff, and anti-bot strategies (rotating proxies, dynamic user agents)
- Handled frequent schema/HTML changes via flexible parsing, schema validation, and alerting
- Shipped a Rust-based internal data API with caching, pagination, optimized queries, automated tests, and versioned endpoints (v1/v2)
- Stood up early-stage MVP with CI/CD, logging/monitoring/alerting, and iterative reliability improvements post-launch
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