Manish Padole

About Manish Padole

Geospatial Engineer focused in building scalable, cloud native pipelines for satellite…

Experience

1. Assistant Manager - Geospatial Data Scientist

   Escorts Kubota Limited

   Apr 2025 — Present · Delhi, IN

   Optimized geospatial data pipelines by integrating the STAC API and automating workflows with AWS (Lambda, S3, ECR, EventBridge), reducing manual processing time and ensuring scalable access to satellite imagery- Architected and deployed a three-tier serverless system on AWS (API Gateway, Lambda, Step Functions, S3) for remote sensing index computation, ensuring scalability and maintainability, with infrastructure provisioned using Terraform- Reduced cloud storage costs by ~80% for satellite data across farms by implementing S3 lifecycle policies with Glacier Instant Retrieval, significantly lowering expenses while maintaining rapid access to historical data- Reduced ArcGIS Online credit usage by 80% by optimizing feature storage and automating cleanup with the ArcGIS API for Python, cutting daily consumption from 10 to 2 credits while ensuring data accessibility- Collaborated with cross-functional teams (engineering, product, business) to align geospatial intelligence with product development and strategic decision-making- Designed and deployed geospatial surveys using ArcGIS Survey123 to collect field-level crop type data, increasing agricultural analysis accuracy and supporting precision farming initiatives.

Education

• Symbiosis Institute of Geoinformatics

  Master's degree

  2018 — 2020