Rahul J.
Data Engineer Ii @Nike
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WORK HISTORY
Data Engineer Ii @Nike
Beaverton, OR, US
Developed E2E Data Pipelines, products by aggregating Consumer Sales Transactions, Inventory data on Product, Style_color, GTIN, Region grain across all consumer Sales & Inventory Channels on Global regions along with inventory forecasting metrics for Business planners on Demand planning, Supply planning and Inventory forecasting. Used: AWS Databricks, Python, Spark, Hive, Snowflake for ingestion, processing and loading. Sagemaker and ML for getting forecast metrics. Airflow for scheduling and job orchestration.
EDUCATION
Jawaharlal Nehru Technological University, Kakinada
Bachelor of Technology
University of Cincinnati
Master's degree, Computer Science
ABOUT RAHUL J.
Senior Data Engineer with 8+ years of professional experience building scalable batch and streaming data pipelines on AWS and Databricks. Experienced in optimizing ETL & distributed Spark workloads, implementing cost-efficient cloud architectures, and designing reliable data pipelines supporting large-scale retail and telecom analytics. • Databricks Certified Apache Spark Developer.• Solved complex data-driven problems by objectively finding E2E effective solutions.• Implemented Batch, near Real-time Data pipelines in On-Prem & Cloud cluster environments.• Proficient in Python, SQL, Distributed systems, Data Modeling, Spark, Kafka, Snowflake, Airflow, Hadoop.• Implemented data models, schemas, and structures optimized for data warehouses, analytics. • Worked on AWS cloud services like S3, EC2, EMR, Athena, Redshift, Glue.• Worked on Databricks Lakehouse Platform - Unity Catalog, Medallion Architecture, Delta Lake, DLT.
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