High-throughput database architecture, ETL pipelines, and web data extraction.
We design relational and document databases that scale, build continuous data ingestion pipelines, and harvest structured market intelligence at scale.
Slow database queries bring applications to a crawl under load. Meanwhile, businesses fail to gather critical external market intelligence locked behind dynamic websites.
We optimize database schemas and indexes for sub-millisecond queries, and engineer automated web scraping pipelines that harvest structured data at scale.
Normalization, partitioning, indexing strategies, and connection pool optimization across PostgreSQL and MongoDB.
Anti-bot handling, browser automation (Playwright), proxy rotation, and structured table harvesting.
Event-driven transformation pipelines that ingest, normalize, and validate unstructured data feeds into clean warehouses.
Automated anomaly detection, deduplication algorithms, and schema validation ensuring data integrity.
Redis and Valkey caching layers protecting databases from traffic spikes and sub-millisecond data reads.