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Thilak P
Mid-level Data Engineer specializing in cloud ETL/ELT and big data pipelines
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Backend/data engineer who builds Python (FastAPI) data-processing API services for internal analytics/reporting, emphasizing modular architecture, async performance tuning, and reliability patterns (health checks, retries, observability). Also migrated legacy on-prem ETL pipelines to Azure using ADF/Data Lake/Functions and implemented a near-real-time ingestion flow with Event Hubs plus watermarking to handle late events and deduplication.
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Key Strengths
- End-to-end ownership of Python data processing + API backend services
- Designs modular backend layers (data access, business logic, validation)
- Performance/reliability optimization (async endpoints, SQL indexing, caching)
- Builds observability and resilience (health checks, logging/metrics/alerts, retry logic)
- On-prem to Azure migration execution (ADF/Data Lake/Functions; historical + incremental loads)
- Real-time ingestion pattern using Event Hubs to Data Lake with watermarking/metadata tracking
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