Md Ashif Ejaz

Md Ashif Ejaz

Bangalore, India

Md Ashif Ejaz

Palantir Foundry Data Engineer
Category : Data base
Palantir Foundry Developer with 4+ years of hands-on experience designing, developing, and
deploying data-driven applications within the Palantir Foundry ecosystem. Proven
expertise in ETL scripting, KPI dashboarding, and automation. Expertise in designing and
implementing complex data architectures, ontologies, and scalable data pipelines within Palantir
Foundry . Adept at developing and maintaining scalable data pipelines, visual analytics,
and performance monitoring tools that optimize decision-making. Strong hands-on experience in
Ontology Manager, Pipeline Builder, Code Repositories, and Quiver, along with advanced
proficiency in PySpark, Python, and SQL

Working hours

  • Monday:08h00 To 18h00
  • Tuesday:08h00 To 18h00
  • Wednesday:08h00 To 18h00
  • Thursday:08h00 To 18h00
  • Friday:08h00 To 18h00
  • Saturday:Not available
  • Sunday:Not available
• Design, build, and maintain data analytics applications in Palantir Foundry (Skywise) using
Ontology Manager, Workshop, Code Repositories, Quiver, Data Pipeline and Contour
• Develop ETL pipelines in PySpark and SQL to manage large-scale datasets and automate
data transformations.
• Build interactive dashboards and KPIs for aircraft operations, enabling a 60– 75%
productivity gain across maintenance and planning teams.
• Collaborate with Airbus business functions to translate business logic into data driven tools
and automate reporting workflows in Skywise and E-BAM.
• Manage full delivery lifecycle design, development, testing, and deployment for data
applications on Palantir Foundry.
• Drive self-service analytics initiatives, empowering non-technical teams to access and
interpret operational data effectively.
• Designed an end-to-end ETL pipeline to process raw data into meaningful insights.
• Built custom dashboards and automated MIS reports, reducing manual reporting by 80%.
• Led a team of two developers, conducting code reviews and ensuring adherence to clean
coding practices.
• Created automated infrastructures for data tracking, abuse detection, and product analytics,
leveraging SQL
  • 🇬🇧 English
  • 🇮🇳 Hindi
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