MSPowerhouse — Your Strategic IT PartnerMSPowerhouse
All case studies

Data & Analytics · Case Study

REST API Data Integration Framework into Azure Data Lake

Many of the client's systems exposed data only through REST APIs. MSPowerhouse built a reusable ADF framework — parent-child orchestration, ForEach loops, pagination patterns, and raw JSON landing in ADLS — that absorbed differences in auth, endpoints, and response shapes across sources.

Client
Confidential
Engagement
2024
Industry
Data & Analytics
Outcome
Reusable REST → ADLS framework
REST API Data Integration Framework into Azure Data Lake

The challenge

  • Each REST source had different auth, pagination, rate limits, endpoints, and response formats.
  • Some APIs required ID lookups before detail calls; others returned nested JSON.
  • Needed one framework instead of one-off pipelines per source.

Our approach

  • Built parent-child orchestration with ForEach loops for object-level extraction.
  • Standardized pagination patterns: page, offset, continuation token, next-link.
  • Landed raw JSON in ADLS by source, object, and run date.
  • Added error handling and partial rerun design.

Results

1 framework
Reused across multiple APIs
Reduced
Development time per new source
Raw-first
Lake design supports multiple reports

Could this be your team next?

Tell us about your environment and we'll come back with a one-page diagnostic in 48 hours.

Get a free assessment