I will build and optimize pyspark, hive, and sqoop scripts

Let me help you turn messy data into fast, structured, and reliable pipelines.

• Contact me before placing an order to discuss your use case.

I offer professional data engineering services using Apache Spark (PySpark), Hive, and Sqoop, specializing in:

• PySpark ETL Pipelines Clean, transform, and enrich data
• Hive Optimization Efficient partitioning, bucketing, and query tuning
• Sqoop Scripts Import/export data between RDBMS and Hadoop
• Job Optimization Improve performance and reduce execution time
• Custom Data Ingestion Pipelines Structured for batch processing or scheduling
• Schema Design & Data Format Conversion Avro, Parquet, ORC

What I Deliver:

• PySpark scripts with modular and clean code
• HiveQL scripts with optimized queries
• Sqoop commands for efficient data transfer
• Documentation (on request)
• Support for deployment and debugging

Why Choose Me?

• 7+ years in Big Data ecosystem
• Production-level experience with Spark on large datasets
• Clean, reusable code with inline comments
• On-time delivery & clear communication

Extras (Available in Premium Plans):

• Scheduling support (Oozie)
• Unit tests & logging integration
• Code refactoring and job performance review