I design and optimize search engines and indexing pipelines for high-performance data access, whether you're dealing with structured databases, time-series data, or document-based content.
My service includes:
🔍 Integration of Elasticsearch for full-text search and faceted filtering
📊 TimescaleDB setup for efficient time-series storage and analytics (IoT, metrics, logs)
📂 PostgreSQL indexing strategies (GIN, BRIN, materialized views, partitioning)
⚙️ Custom search logic in Django, Flask, or Node.js backends (API-driven)
🔄 ETL pipelines to sync data between relational DBs and search engines
🔐 Secure, high-availability architecture for large-scale datasets
📈 Query performance analysis and optimization
📡 Support for geolocation, filtering, autocomplete, and multilingual search
📄 Setup of dashboards with Kibana, Grafana, or custom frontend components
I’ve worked on projects involving millions of records, high-speed queries, and near real-time indexing needs — for SaaS platforms, industrial systems, and data-heavy dashboards.