A scalable data platform and governance model.
StudentUniverse · 2020 – 2022
Delivered a scalable data platform and governance model following a nine-month implementation.
01
Executive summary
Led the implementation of Databricks as a core platform, processing complex GDS data with PySpark and managing 250+ nested JSON arrays alongside global PostgreSQL data.
02
Context and constraints
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The starting conditions, constraints, and pressures behind this engagement are not established by the current source brief.
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03
Role and scope
- Organization
- StudentUniverseWaltham, MA · Dec 2020 – Dec 2022
- Role
- Business Intelligence Manager
- Scope
- Databricks as a core platform, processing complex GDS data alongside global PostgreSQL data.
04
System architecture
An abstract view of the transformation shape: disorder on the left resolving into governed structure on the right. It carries no proprietary schema, screen, or client detail.
05
Key decisions and rationale
Awaiting verified detail
The architecture decisions taken here, and the reasoning behind them, are not established by the current source brief.
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06
Implementation
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How the work was sequenced and delivered is not established by the current source brief.
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07
Outcomes and evidence
Delivered a scalable data platform and governance model following a nine-month implementation.
- 20 TB
- Processed in Databricks and PySpark
- 250+
- Nested JSON arrays managed
08
Technology and stakeholders
Technology
- Databricks
- PySpark
- AWS S3
- PostgreSQL
- Tableau
- ETL/ELT
- Data Governance
Stakeholders
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The stakeholder ecosystem for this engagement is not established by the current source brief.
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09
Operating principles
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The transferable lessons from this engagement are not established by the current source brief.
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