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Data Engineer with 6+ years in spatial data pipelines and Earth observation
Geospatial Data Engineer with 6+ years of experience designing and delivering production-grade spatial data pipelines - spanning ETL/ELT workflows for satellite and vector data, cloud-native geospatial storage (GeoParquet, COG, PostGIS), and scalable backend services for spatial analysis. MPhil Gold Medalist in Remote Sensing & GIS with deep expertise in Earth observation data (Sentinel-1/2, SAR, DEM), spatial databases, and cloud deployment on AWS. Proven ability to integrate heterogeneous geospatial sources - STAC catalogs, Overture Maps, raster/vector APIs - into analysis-ready datasets across agriculture, flood risk, biodiversity, and environmental domains.
UNIVERSITY OF THE PUNJAB (PUCIT)
MPhil in Remote Sensing and GIS · Remote Sensing and GIS
August 1, 2018 – September 1, 2020
UNIVERSITY OF THE PUNJAB (Space Sciences)
BS. Hons in Space Sciences · Space Sciences
August 1, 2014 – September 1, 2018
Infotech Groups
Senior Geospatial Data Engineer
May 1, 2026 – Present
India
FAAB AI
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February 1, 2023 – January 1, 2026
India
Spatial Stack
Senior GIS Developer
May 1, 2021 – January 1, 2023
India
The Urban Unit
ML / GIS Developer
January 1, 2020 – April 1, 2021
India
Microsoft Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
Earth Observation in Agriculture & Forestry
NCRA Agriculture Robotics Lab
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience across flood risk, crop health monitoring, biodiversity mapping, and stock exchange data warehousing indicates adaptability and a broad interest in applying data engineering skills to various domains. Their academic background in Remote Sensing and GIS, combined with practical experience, suggests a strong foundation for roles requiring specialized geospatial expertise. The consistent progression in roles from ML/GIS Developer to Senior Geospatial Data Engineer reflects a growth mindset and commitment to the field.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through resolving critical data quality issues and optimizing processing times. Their experience in designing user-friendly interfaces (natural language query, GIS portals) indicates a focus on stakeholder needs and operational efficiency. The consistent delivery of production-grade systems suggests a robust work ethic and ability to manage complex projects.