RAJ Maddoju
@rajmaddoju
I build secure, scalable data platforms and ingestion pipelines.
United StatesWhat I'm looking for
At Digital Realty, I design Microsoft Fabric medallion architectures and API-based ingestion pipelines using Python, PySpark, REST, OAuth2, and Azure Data Factory. My work maintains 99.7% pipeline uptime and accelerates Power BI release cycles by 35%.
I build secure data-platform capabilities, including MCP servers with authorization scoping, fault handling, and injection resistance. I also implement secrets management, schema-drift handling, structured error handling, and infrastructure-as-code.
Across Comcast and Horizon BCBS, I developed reusable Fabric, Databricks, AWS, and Azure pipelines, near-real-time incremental ingestion, governed analytical datasets, and Power BI data models. I improved throughput by 50%, reduced full-load processing by 60%, and reduced data incidents by 35%.
I bring experience migrating legacy Hive, SQL, and reporting workflows into Spark-based data platforms, and I enjoy authoring engineering standards through Python, MLflow, Terraform, Azure DevOps, and Git-based workflows. I communicate clearly, stay calm under pressure, and take pride in helping teams build reliable data products.
Experience
Work history, roles, and key accomplishments
Designed medallion-layered architecture in Microsoft Fabric using Python and PySpark to deliver scalable, reliable datasets. Developed and standardized API-based data ingestion pipelines with REST, OAuth2, incremental and change-data-capture patterns.
Developed reusable Microsoft Fabric and Azure Databricks pipelines with PySpark and MLflow, standardizing medallion architecture. Implemented data integration workflows with Azure Data Factory, Synapse Analytics, Purview, Key Vault, and Entra Application Registration for governance and lineage.
Developed scalable PySpark pipelines on AWS and Microsoft Fabric with optimized data ingestion and medallion architecture, improving throughput by 50%. Implemented incremental and change-data-capture ingestion patterns using Qlik Replicate and API pagination, reducing full-load processing by 60%.
Migrated legacy Hive and SQL workflows into Spark SQL and Scala within Microsoft Fabric, improving medallion architecture implementation and analytics speed. Developed complex Hive queries and Java UDFs supporting multi-tenant data isolation.
Developed reusable Python and PySpark modules on Google Cloud and Microsoft Fabric Dataproc, standardizing data integration pipelines. Designed scalable BigQuery and Microsoft Fabric datasets with SQL transformations, accelerating query performance.
Education
Degrees, certifications, and relevant coursework
New England College
Master of Science, Computer and Information Systems
2021 - 2023
Grade: 3.85
Pursued a Master of Science in Computer and Information Systems with a CGPA of 3.85.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Salary expectations
Skills
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