Data engineering

Data Platform Modernization

Moved a company's reporting off an ageing system onto a modern data platform, so reports run faster and cost less.

Professional experience at ZEISS India
  1. BeforeSlow, ageing reportsReports many teams relied on ran on old, hard-to-change code.
  2. What I didMoved and rebuiltThe logic was rewritten for a modern platform, one checked step at a time.
  3. AfterFaster, cheaper answersQuicker reports on a platform that is easier to grow.
Illustration

Reporting that many teams relied on ran on old SQL that was slow and hard to change. I led its move to Databricks and rewrote the logic as clean, testable code, so reports come back faster and the platform costs less to run.

  • Full migration

    Analytics workloads moved off Azure Synapse, one validated step at a time.

  • Logic rebuilt, not lifted

    Legacy SQL became readable, testable PySpark notebooks.

  • Faster and cheaper

    Quicker queries and lower compute, on a platform that is easier to extend.

Built with
  • Databricks
  • PySpark
  • Delta Lake
  • Azure

Completed as part of professional employment. Company-specific and proprietary implementation details have been omitted.