Orchestrated Data Pipelines
Metadata-driven ingestion across Azure Data Factory and Synapse.
DIVERSE SOURCES. SHARED STANDARDS.Hello, I’m Rajendra.
I architect data platforms that teams can trust—from petabyte-scale lakehouses and real-time ingestion to governed AI workflows.
16+ years connecting architecture, hands-on engineering, and technical leadership across Microsoft, Amazon, and financial services.

Engineering a shared foundation
for trusted enterprise data.
Metadata-driven ingestion across Azure Data Factory and Synapse.
DIVERSE SOURCES. SHARED STANDARDS.Bronze, Silver, and Gold layers with data contracts and governance.
STRUCTURE THAT EARNS TRUST.Distributed processing in PySpark and Scala for downstream analytics.
COMPUTE THAT CONNECTS TO VALUE.Scale of the Microsoft data platform I architect and maintain.
02 / SELECTED WORK
A few challenges I’ve worked through.
Select a story for the context and approach.
03 / THE JOURNEY
04 / TECHNICAL EXPERTISE
Select an area to explore the technology
and where I’ve applied it.
05 / BEYOND THE STACK
I work where business requirements meet engineering decisions. My role is to turn that complexity into an architecture people can understand, operate, and evolve.
My experience spans security and compliance, last-mile logistics, investment management, banking, healthcare, and retail. I’ve built teams, led architects, and stayed close to the implementation.
Outside technology, I enjoy urban sketching—another way of observing systems, understanding structure, and paying attention to detail.
Electronics & Communication Engineering
Institute of Aeronautical Engineering
06 / WHAT’S NEXT
Open to conversations about data architecture,
platform engineering, and technical leadership.