I will build influxdb pipelines for time series data with grafana dashboards

I build production time-series data pipelines with InfluxDB, from sensor ingestion to real-time dashboards and alerting systems.

What I Deliver

Data Ingestion: Python ingestion pipelines (sync and async). Multi-source support: IoT sensors, APIs, databases, files. Batch and real-time streaming modes.

InfluxDB Configuration: Bucket design and organization structure. Retention policies and data lifecycle. SQL queries for aggregation and analysis.

Visualization & Alerting: Grafana dashboards with dynamic variables. Real-time panels and time-range selectors.

Tech Stack: InfluxDB 3.0, InfluxDB Cloud, SQL, Grafana, Python

Background:

• Built large-scale time-series ingestion systems processing millions of data points
• Designed multi-tenant InfluxDB architectures
• Experience with IoT sensor data, PLC systems, and industrial data pipelines
• Created ETL pipelines with complex aggregations across different schemas

Use Cases:

• IoT sensor monitoring
• Industrial equipment metrics
• Application performance monitoring
• Financial tick data
• Energy and utility metering
• DevOps infrastructure metrics