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Senior Developer

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work — 2024

Geospatial Processing

Focus:
Key generation, ESRI splits handling, geospatial data optimization
Systems:
Esri Enterprise/Portal, Esri REST Services, Esri Geodatabase, Esri Online

ESRI Geospatial Data Processing & Key Handling

This project focused on enhancing the management and performance of large-scale geospatial datasets by integrating advanced ESRI splits handling, robust key generation, and comprehensive data optimization techniques.

The goal was to streamline geospatial data workflows and improve synchronization times, ensuring efficient segmentation and indexing while maintaining high mapping accuracy and performance.

Key Features
  • ESRI Splits Handling:

    Developed specialized modules that interact with ESRI APIs to efficiently split and manage geospatial datasets. This ensures that large datasets are divided into manageable segments without losing spatial relationships or data integrity.

  • Key Generation:

    Implemented robust algorithms to generate unique keys for each data segment. These keys facilitate fast indexing, retrieval, and tracking, internal and external sequences, ensuring that every portion of the dataset can be uniquely identified and processed.

  • Geospatial Data Optimization:

    Applied advanced data pre-processing, caching, and spatial indexing strategies to optimize the performance of geospatial applications. These optimizations reduced load times, improved query efficiency, and supported near-real-time data processing for mapping applications.