
Rahul Reddy
@rahulreddy4
I build scalable cloud data platforms, pipelines, warehouses, and analytics solutions.
What I'm looking for
I've delivered enterprise data platforms for AbbVie, State Street, EY/Unilever, and Modak/GSK across healthcare, financial services, supply chain, and pharma. My work spans scalable ETL/ELT, data warehousing, analytics, and governed cloud data products.
At AbbVie, I built Azure Data Factory, Databricks, PySpark, and Airflow pipelines processing 2M+ healthcare records daily, reducing end-to-end processing time by 40%. I also developed AI-ready datasets and Azure OpenAI-assisted analytics and data-quality workflows.
At State Street and EY/Unilever, I modernized financial and supply-chain workloads using Snowflake, AWS Glue, Redshift, Spark, SQL, Power BI, and Tableau. I focus on reliable, high-performance pipelines, data quality, dimensional models, CI/CD, and practical reporting that helps teams make decisions faster.
Experience
Work history, roles, and key accomplishments
Architected scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, PySpark, and Airflow, processing 2M+ healthcare records daily and reducing processing time by 40%. Engineered REST API ingestion frameworks and Medallion architecture on ADLS Gen2, improving data availability and processing efficiency.
Education
Degrees, certifications, and relevant coursework
Rahul hasn't added their education
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Tech stack
Software and tools used professionally
Amazon Redshift
Azure Synapse
Apache Spark
AWS Glue
Microsoft Azure
Amazon CloudWatch
Amazon S3
Azure Storage
Salesforce
PySpark
PostgreSQL
Databricks
Azure DevOps
JSON
Azure Monitor
JSON API
Microsoft Excel
Azure SQL Database
Airflow
Time Analytics
Amazon Web Services (AWS)
SQL
Azure Blob Storage
Delta Lake
Factory
Movement
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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