Sohail Sayyed

Angestellt, Data Engineer, Capgemini
Mumbai, India

Skills

Datenbank
API
Apache Spark
Agile Entwicklung
Datenverarbeitung
Informationstechnologie
Terraform
Microsoft Azure
Automatisierung
Python
SQL
Git
Pyspark
Palantir

Timeline

Professional experience for Sohail Sayyed

  • Current 1 year, since May 2025

    Data Engineer

    Capgemini

    Optimized data pipelines with Apache Spark, PySpark, and Palantir Foundry, improving performance by 40%. Cut deployment errors by 50% through production-ready, client-specific code in Foundry repositories. Automated workflows in Foundry Data Lineage enhance scheduling reliability and data accuracy.

  • 3 years and 8 months, Oct 2021 - May 2025

    Senior System Engineer

    Infosys Limited

    Built data pipelines to migrate ERP data to COUPA using REST APIs with Python and PySpark. Designed robust ETL workflows to enhance data extraction, transformation, and loading efficiency. Processed and structured large-scale JSON data using Spark/PySpark within Palantir Foundry.

Languages

  • English

    C1 (Fluent)

  • German

    A1-A2 (Basic)

  • Hindi

    C2 (Expert / native speaker)

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