Amrit Pal Singh

At InnoWatts (GridX), I've built cloud-scale data platforms, energy-market integrations, and analytics automation since 2015. I design and operate ETL/ELT pipelines for energy usage, settlement, forecasting, and market datasets using Python, SQL, PySpark, SparkSQL, Apache Airflow, Snowflake, and Databricks.

I've automated data acquisition and normalization from more than 20 Shell Energy Japan power plants and built secure collectors for PJM, ISO-NE, MISO, ERCOT, and NYISO. My ingestion solutions use scheduled execution, monitoring, validation, adaptive retries, and standardized datasets to support downstream analytics and operations.

I created a rule-driven validation framework for forecast, settlement, interval completeness, and consistency checks that reduced manual QA effort by 70%.

I also build configurable risk, settlement, and analytics platforms, including trade reconciliation, exposure analysis, Net Open Position reporting, and meter-level allocation workflows. Across AWS, Azure, and GCP, I deliver production data services with CI/CD, Docker, Kubernetes, ArgoCD, and monitoring while supporting architecture ownership, code reviews, and mentoring.